Triple
T7866517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Gil |
E182628
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Socorro |
E227457
|
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: Socorro | Statement: [San Gil, nearbyTown, Socorro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Socorro Context triple: [San Gil, nearbyTown, Socorro]
-
A.
Socorro
chosen
Socorro is a historic colonial town and municipality in northeastern Colombia’s Santander Department, known for its role in early independence movements and well-preserved architecture.
-
B.
Socorro
Socorro is a desert planet in the Star Wars universe known as the canonical homeworld of the suave gambler and smuggler Lando Calrissian.
-
C.
Socorro, New Mexico
Socorro, New Mexico is a small city in central New Mexico known for its proximity to the Very Large Array radio telescope and New Mexico Tech, a prominent science and engineering university.
-
D.
Taos
Taos is a historic town in northern New Mexico known for its rich Native American and Spanish heritage, thriving arts community, and proximity to scenic high-desert and mountain landscapes.
-
E.
Albuquerque
Albuquerque is the largest city in New Mexico, known for its high desert landscape, multicultural heritage, and institutions like the University of New Mexico.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb38464274819080f182b53783fa84 |
completed | March 31, 2026, 2:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b5908a88190bc00f0d6dbde0b58 |
completed | March 31, 2026, 5:27 a.m. |
Created at: March 30, 2026, 4:54 p.m.