Triple
T10246780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centro Médico |
E240234
|
entity |
| Predicate | hasExitsTo |
P29827
|
FINISHED |
| Object |
Eje 1 Poniente
Eje 1 Poniente is a major north–south arterial road in Mexico City that forms part of the city’s numbered “Eje” roadway system.
|
E853952
|
NE FINISHED |
How this triple was built (4 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: Eje 1 Poniente | Statement: [Centro Médico, hasExitsTo, Eje 1 Poniente]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eje 1 Poniente Context triple: [Centro Médico, hasExitsTo, Eje 1 Poniente]
-
A.
Eje Central
Eje Central is a Mexico City Metro station on Line 12 located along the major north–south thoroughfare Eje Central Lázaro Cárdenas.
-
B.
Eje 1 Sur
Eje 1 Sur is a major east–west arterial road in Mexico City that forms part of the city’s structured “eje vial” traffic network.
-
C.
Eje 2 Norte
Eje 2 Norte is a major east–west arterial road in Mexico City that forms part of the city’s structured “eje vial” traffic network.
-
D.
Eje 4 Sur
Eje 4 Sur is a major east–west arterial corridor in Mexico City that serves as an important route for public transportation and urban mobility.
-
E.
Eje 6 Sur
Eje 6 Sur is a major east–west arterial road in Mexico City that runs through several neighborhoods, including Colonia del Valle.
- 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: Eje 1 Poniente Triple: [Centro Médico, hasExitsTo, Eje 1 Poniente]
Generated description
Eje 1 Poniente is a major north–south arterial road in Mexico City that forms part of the city’s numbered “Eje” roadway system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eje 1 Poniente Target entity description: Eje 1 Poniente is a major north–south arterial road in Mexico City that forms part of the city’s numbered “Eje” roadway system.
-
A.
Eje Central
Eje Central is a Mexico City Metro station on Line 12 located along the major north–south thoroughfare Eje Central Lázaro Cárdenas.
-
B.
Eje 1 Sur
Eje 1 Sur is a major east–west arterial road in Mexico City that forms part of the city’s structured “eje vial” traffic network.
-
C.
Eje 2 Norte
Eje 2 Norte is a major east–west arterial road in Mexico City that forms part of the city’s structured “eje vial” traffic network.
-
D.
Eje 4 Sur
Eje 4 Sur is a major east–west arterial corridor in Mexico City that serves as an important route for public transportation and urban mobility.
-
E.
Eje 6 Sur
Eje 6 Sur is a major east–west arterial road in Mexico City that runs through several neighborhoods, including Colonia del Valle.
- F. None of above. chosen
Provenance (5 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22cfe1c8190afae178e11a59b8b |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7a597188190880200d13784f18f |
completed | April 9, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69d6fcab0bfc8190b47bc165ef3eb15d |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d70fc3b15081908d1b67a7094c6210 |
completed | April 9, 2026, 2:32 a.m. |
Created at: April 6, 2026, 11:27 a.m.