Triple
T17778348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Línea Dorada |
E443831
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Zapata |
—
|
NE NERFINISHED |
How this triple was built (2 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: Zapata | Statement: [Línea Dorada, hasStation, Zapata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zapata Context triple: [Línea Dorada, hasStation, Zapata]
-
A.
Zapata
chosen
Zapata is a Mexico City Metro station on Line 3, named after revolutionary leader Emiliano Zapata and known for its cultural displays and transfer connection to Line 12.
-
B.
Beltrán
Beltrán is a Spanish masculine given name of medieval origin, historically associated with nobility and knightly figures.
-
C.
Doroteo
Doroteo is the given name of Doroteo Guamuch Flores, a renowned Guatemalan long-distance runner and Boston Marathon champion.
-
D.
Velasco
Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
-
E.
Altamirano
Altamirano is a municipality in the Mexican state of Chiapas known for its significant Indigenous Tzeltal population and role in regional social and political movements.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4871f63708190b298ed96896ad0ee |
completed | April 19, 2026, 7:41 a.m. |
Created at: April 10, 2026, 10:12 a.m.