Triple
T331153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metrobús |
E6627
|
entity |
| Predicate | line2Terminus |
P388
|
FINISHED |
| Object | Tacubaya |
E50074
|
NE FINISHED |
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: Tacubaya | Statement: [Metrobús, line2Terminus, Tacubaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tacubaya Context triple: [Metrobús, line2Terminus, Tacubaya]
-
A.
Zócalo
Zócalo is the vast central plaza of Mexico City, historically and politically significant as a focal point for public gatherings, ceremonies, and cultural events.
-
B.
Usaquén
Usaquén is a historic and upscale northern locality of Bogotá, Colombia, known for its colonial architecture, Sunday flea market, and vibrant dining scene.
-
C.
Coyoacán
Coyoacán is a historic and culturally rich borough in southern Mexico City, known for its colonial architecture, cobblestone streets, and artistic heritage.
-
D.
Cuauhtémoc borough
chosen
Cuauhtémoc borough is a central administrative district of Mexico City that encompasses many of the capital’s most important political, cultural, and commercial areas.
-
E.
Tlalpan, Mexico City
Tlalpan, Mexico City is a large southern borough of Mexico City known for its historic center, extensive green areas, and mix of urban and rural zones.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ee028c488190ad0109510de2956d |
completed | Feb. 28, 2026, 1:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a41b4344f081909306258971f45687 |
completed | March 1, 2026, 10:56 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.