Triple

T17589179
Position Surface form Disambiguated ID Type / Status
Subject Socorro Municipal Airport E428399 entity
Predicate locatedNear P294 FINISHED
Object Socorro NE NERFINISHED

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: [Socorro Municipal Airport, locatedNear, Socorro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Socorro
Context triple: [Socorro Municipal Airport, locatedNear, Socorro]
  • A. Socorro
    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
    Socorro is the birth name of the beloved grandmother character Mamá Coco from Disney-Pixar's animated film "Coco."
  • D. Socorro
    Socorro is a municipality in the Philippine province of Surigao del Norte, known for its island communities and coastal environment.
  • E. Socorro, New Mexico chosen
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469e62d5c81909134e30a6d0f2e20 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.