Triple
T2261022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonia Buenos Aires |
E50038
|
entity |
| Predicate | geographicDirectionWithinCity |
P26962
|
FINISHED |
| Object | central Mexico City |
—
|
LITERAL 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: central Mexico City | Statement: [Colonia Buenos Aires, geographicDirectionWithinCity, central Mexico City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicDirectionWithinCity Context triple: [Colonia Buenos Aires, geographicDirectionWithinCity, central Mexico City]
-
A.
directionFromCityCenter
Indicates the compass direction in which one location lies relative to the city center.
-
B.
directionFromCityCentre
chosen
Indicates the compass direction in which one location lies relative to the city centre.
-
C.
transportDirection
Indicates the directional flow or route along which something is transported from an origin toward a destination.
-
D.
canProvideDirections
Indicates that one entity is able to give another entity guidance or instructions on how to reach a particular location or navigate a route.
-
E.
nearbyTransit
Indicates that one location has public transportation options situated within a short distance or easy access from it.
- F. None of above.
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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc2ea65288190bc8644a07a11dfa9 |
completed | March 7, 2026, 6:17 a.m. |
| PD | Predicate disambiguation | batch_69abbdb592588190ac1ef5e8c54575b1 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.