Triple

T4104922
Position Surface form Disambiguated ID Type / Status
Subject Lando Calrissian E88426 entity
Predicate homeworld P2102 FINISHED
Object Socorro E420488 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: [Lando Calrissian, homeworld, Socorro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Socorro
Context triple: [Lando Calrissian, homeworld, 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 chosen
    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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd31bad88190b850d1dcba14de60 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf832772d08190842b1e1c1a87ea3a completed March 22, 2026, 5:50 a.m.
Created at: March 9, 2026, 3:40 p.m.