Triple
T25613320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prismas Basálticos de Santa María Regla |
E642092
|
entity |
| Predicate | distanceFromPachuca |
P103211
|
FINISHED |
| Object | approximately 40 kilometers |
—
|
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: approximately 40 kilometers | Statement: [Prismas Basálticos de Santa María Regla, distanceFromPachuca, approximately 40 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromPachuca Context triple: [Prismas Basálticos de Santa María Regla, distanceFromPachuca, approximately 40 kilometers]
-
A.
distanceFromMexicoCity
Indicates the measured distance between an entity’s location and Mexico City.
-
B.
distanceFromOaxacaCity
Indicates the spatial distance between a given place and Oaxaca City.
-
C.
distanceToGuadalajara_km
Indicates the physical distance, measured in kilometers, between an entity’s location and the city of Guadalajara.
-
D.
distanceToPachucaDeSoto
chosen
Indicates the measured distance between a given entity and the location Pachuca de Soto.
-
E.
distanceFromToluca
Indicates the spatial distance between a given location and the city of Toluca.
- 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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 21, 2026, 4:42 p.m.