Triple
T12242187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Churubusco |
E291760
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Churubusco |
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: Churubusco | Statement: [Battle of Churubusco, location, Churubusco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Churubusco Context triple: [Battle of Churubusco, location, Churubusco]
-
A.
Tlaquepaque
Tlaquepaque is a historic city in the Guadalajara metropolitan area of Jalisco, Mexico, renowned for its traditional pottery, handicrafts, and vibrant arts scene.
-
B.
Milpa Alta
Milpa Alta is a largely rural borough in the southern part of Mexico City, known for its traditional agriculture, especially nopal cactus cultivation, and strong preservation of indigenous customs.
-
C.
Tuxpam
Tuxpam is an alternative spelling of Tuxpan, a coastal city and important port in the Mexican state of Veracruz.
-
D.
Lindavista
Lindavista is a metro station in Mexico City serving the Lindavista neighborhood on the city's rapid transit network.
-
E.
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.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb59ce4819099999b8755fb8b98 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ab5a404819089f9ea868deda10c |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.