Triple
T17205241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recreo station |
E417582
|
entity |
| Predicate | locatedBetween |
P1262
|
FINISHED |
| Object |
Portales station
Portales station is a stop on Mexico City Metro Line 2 serving the Portales neighborhood in the southern part of the city.
|
E1256777
|
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: Portales station | Statement: [Recreo station, locatedBetween, Portales station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Portales station Context triple: [Recreo station, locatedBetween, Portales station]
-
A.
Portales station
Portales station is a stop on the Valparaíso Metro system in Chile, serving passengers along the coastal urban corridor of the Valparaíso metropolitan area.
-
B.
Varela station
Varela station is a stop on Buenos Aires’ Line E subway, serving passengers in the city’s southeastern neighborhoods.
-
C.
Balderas station
Balderas station is a Mexico City Metro station in the city center known for its high passenger traffic and proximity to important cultural and historical landmarks.
-
D.
Camino Agrícola station
Camino Agrícola station is a stop on Santiago, Chile’s Metro system serving Line 5 in the southeastern part of the city.
-
E.
Barrancas station
Barrancas station is a stop on Santiago, Chile’s Metro system, serving Line 5 in the western part of the city.
- 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: Portales station Triple: [Recreo station, locatedBetween, Portales station]
Generated description
Portales station is a stop on Mexico City Metro Line 2 serving the Portales neighborhood in the southern part of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Portales station Target entity description: Portales station is a stop on Mexico City Metro Line 2 serving the Portales neighborhood in the southern part of the city.
-
A.
Portales station
Portales station is a stop on the Valparaíso Metro system in Chile, serving passengers along the coastal urban corridor of the Valparaíso metropolitan area.
-
B.
Varela station
Varela station is a stop on Buenos Aires’ Line E subway, serving passengers in the city’s southeastern neighborhoods.
-
C.
Balderas station
Balderas station is a Mexico City Metro station in the city center known for its high passenger traffic and proximity to important cultural and historical landmarks.
-
D.
Camino Agrícola station
Camino Agrícola station is a stop on Santiago, Chile’s Metro system serving Line 5 in the southeastern part of the city.
-
E.
Barrancas station
Barrancas station is a stop on Santiago, Chile’s Metro system, serving Line 5 in the western part of the city.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc0bea8819090946615a14b2d86 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fde8ba08190ae88dc9ea3366a68 |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a0161b31540819098aa6275f96433ad |
completed | May 11, 2026, 4:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016299d9ac8190be74d5db0d28ea36 |
completed | May 11, 2026, 5:01 a.m. |
Created at: April 10, 2026, 5:38 a.m.