Triple
T2367129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Lázaro |
E46007
|
entity |
| Predicate | metroStationCode |
P29273
|
FINISHED |
| Object |
L1-SL
L1-SL is the station code used to identify the San Lázaro stop on Line 1 of the Mexico City Metro system.
|
E261446
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: L1-SL | Statement: [San Lázaro, metroStationCode, L1-SL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L1-SL Context triple: [San Lázaro, metroStationCode, L1-SL]
-
A.
SL1
SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
-
B.
SL2
SL2 is a branch of Boston’s MBTA Silver Line bus rapid transit service that connects South Station with the Seaport and Design Center area.
-
C.
SL
SL is a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
-
D.
SL
The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
-
E.
SL
SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: L1-SL Triple: [San Lázaro, metroStationCode, L1-SL]
Generated description
L1-SL is the station code used to identify the San Lázaro stop on Line 1 of the Mexico City Metro system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: L1-SL Target entity description: L1-SL is the station code used to identify the San Lázaro stop on Line 1 of the Mexico City Metro system.
-
A.
SL1
SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
-
B.
SL2
SL2 is a branch of Boston’s MBTA Silver Line bus rapid transit service that connects South Station with the Seaport and Design Center area.
-
C.
SL
The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
-
D.
SL
SL is a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
-
E.
SL
SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metroStationCode Context triple: [San Lázaro, metroStationCode, L1-SL]
-
A.
stationNumber
chosen
Indicates the specific station identifier or code assigned to an entity within a system or network.
-
B.
subwayStation
Indicates that one entity is a subway station associated with, located in, or serving the other entity.
-
C.
stationName
Indicates the name assigned to a particular station in the relationship.
-
D.
interchangeStation
Indicates a station where passengers can transfer between different routes, lines, or modes of transportation.
-
E.
terminusStation
Indicates that a station serves as the final endpoint or terminal stop for a given route or service.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc74b6bdc8190a12b2bcaa2dd7616 |
completed | March 7, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea89ae4688190be2e0825f0875ed3 |
completed | March 9, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69aeac4b9b108190b440c991342df9b6 |
completed | March 9, 2026, 11:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeacc8445481908a3ae8bd62493413 |
completed | March 9, 2026, 11:19 a.m. |
| PD | Predicate disambiguation | batch_69abc59b88348190a2d6c08f69974117 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:56 p.m.