Triple
T3123967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tecate urban area |
E65250
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Tecate |
E14747
|
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: Tecate | Statement: [Tecate urban area, namedAfter, Tecate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tecate Context triple: [Tecate urban area, namedAfter, Tecate]
-
A.
Tecate
chosen
Tecate is a Mexican border city in the state of Baja California, known for its brewery and as a quieter alternative crossing point near Tijuana.
-
B.
Vega Baja
Vega Baja is a coastal municipality in northern Puerto Rico known for its beaches, particularly Playa Puerto Nuevo, and its mix of urban and rural communities.
-
C.
Tecate, California
Tecate, California is a small border town in eastern San Diego County known for its international crossing with Tecate, Mexico and its role as a gateway between the two countries.
-
D.
San Quintín
San Quintín is a coastal town in Baja California, Mexico, known for its agricultural production, volcanic landscapes, and growing tourism along the Pacific coast.
-
E.
Bajío
Bajío is a fertile, economically important region in central-western Mexico known for its agriculture, industry, and colonial cities.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada52d856c8190a5d65b8a6452be21 |
completed | March 8, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224d42fc4819095a0f6aec59db2c1 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:04 p.m.