Triple
T17804730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line A (Mexico City Metro) |
E444525
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Acatitla
Acatitla is a metro station in Mexico City that serves passengers on Line A of the Mexico City Metro system.
|
E1336053
|
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: Acatitla | Statement: [Line A (Mexico City Metro), hasStation, Acatitla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acatitla Context triple: [Line A (Mexico City Metro), hasStation, Acatitla]
-
A.
Catemaco
Catemaco is a lakeside town in Veracruz, Mexico, famed for its lush rainforest setting, ecotourism, and long-standing reputation as a center of witchcraft and spiritual rituals.
-
B.
Cachantun
Cachantun is a Chilean bottled mineral water brand known for its natural spring sources and is part of Nestlé Waters’ beverage portfolio.
-
C.
Olocuilta
Olocuilta is a municipality in central El Salvador known for its traditional pupusas and proximity to the capital, San Salvador.
-
D.
Tototlán
Tototlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural economy and traditional regional culture.
-
E.
Achiutla
Achiutla is an important pre-Hispanic Mixtec archaeological and ceremonial center located in the Mixteca Alta region of Oaxaca, Mexico.
- 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: Acatitla Triple: [Line A (Mexico City Metro), hasStation, Acatitla]
Generated description
Acatitla is a metro station in Mexico City that serves passengers on Line A of the Mexico City Metro system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Acatitla Target entity description: Acatitla is a metro station in Mexico City that serves passengers on Line A of the Mexico City Metro system.
-
A.
Catemaco
Catemaco is a lakeside town in Veracruz, Mexico, famed for its lush rainforest setting, ecotourism, and long-standing reputation as a center of witchcraft and spiritual rituals.
-
B.
Cachantun
Cachantun is a Chilean bottled mineral water brand known for its natural spring sources and is part of Nestlé Waters’ beverage portfolio.
-
C.
Olocuilta
Olocuilta is a municipality in central El Salvador known for its traditional pupusas and proximity to the capital, San Salvador.
-
D.
Tototlán
Tototlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural economy and traditional regional culture.
-
E.
Achiutla
Achiutla is an important pre-Hispanic Mixtec archaeological and ceremonial center located in the Mixteca Alta region of Oaxaca, Mexico.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48802bcfc8190a138164d11081ab8 |
completed | April 19, 2026, 7:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a051703a7c08190abb9c7387191971b |
completed | May 14, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a05185f550081909a284d833f992da4 |
completed | May 14, 2026, 12:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05190b081481909af7b7aec70d9646 |
completed | May 14, 2026, 12:36 a.m. |
Created at: April 10, 2026, 10:14 a.m.