Triple

T9434102
Position Surface form Disambiguated ID Type / Status
Subject Socorro E227457 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Socorro E99688 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: [Socorro, hasMunicipalSeat, Socorro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Socorro
Context triple: [Socorro, hasMunicipalSeat, 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, 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.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e62d53c81908055e0967e6cd54d completed April 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122484a90819080e406a7ae5c61fe completed April 4, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:49 p.m.