Triple
T4481966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 12 (Mexico City Metro) |
E100154
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Zapota
Zapota is a metro station on Mexico City’s Line 12, serving passengers in the southeastern part of the city.
|
E444258
|
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: Zapota | Statement: [Line 12 (Mexico City Metro), hasStation, Zapota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zapota Context triple: [Line 12 (Mexico City Metro), hasStation, Zapota]
-
A.
Popotla
Popotla is a Mexico City Metro station on Line 2 serving the Popotla neighborhood near the historic site of the Árbol de la Noche Triste.
-
B.
Zapote
Zapote is a district of San José, Costa Rica, known for housing important government buildings and urban residential areas.
-
C.
Tejipió
Tejipió is a neighborhood in the city of Recife, Brazil, known as part of the urban fabric of the state capital of Pernambuco.
-
D.
Pochuteco
Pochuteco is an extinct Uto-Aztecan language once spoken in the region of Pochutla on the Pacific coast of Oaxaca, Mexico.
-
E.
Mocorito
Mocorito is a historic town and municipality in the Mexican state of Sinaloa, known for its colonial architecture and cultural traditions.
- 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: Zapota Triple: [Line 12 (Mexico City Metro), hasStation, Zapota]
Generated description
Zapota is a metro station on Mexico City’s Line 12, serving passengers in the southeastern part of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zapota Target entity description: Zapota is a metro station on Mexico City’s Line 12, serving passengers in the southeastern part of the city.
-
A.
Popotla
Popotla is a Mexico City Metro station on Line 2 serving the Popotla neighborhood near the historic site of the Árbol de la Noche Triste.
-
B.
Zapote
Zapote is a district of San José, Costa Rica, known for housing important government buildings and urban residential areas.
-
C.
Tejipió
Tejipió is a neighborhood in the city of Recife, Brazil, known as part of the urban fabric of the state capital of Pernambuco.
-
D.
Pochuteco
Pochuteco is an extinct Uto-Aztecan language once spoken in the region of Pochutla on the Pacific coast of Oaxaca, Mexico.
-
E.
Mocorito
Mocorito is a historic town and municipality in the Mexican state of Sinaloa, known for its colonial architecture and cultural traditions.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356dddd488190bd5dedd3c0e77247 |
completed | March 13, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b65140f9a08190856442534ff46e37 |
completed | March 15, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69b651cb35b48190a54236df4fe8ae86 |
completed | March 15, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b65262c18c8190be3c8322a01ceca6 |
completed | March 15, 2026, 6:32 a.m. |
Created at: March 12, 2026, 11:36 p.m.