Triple

T2319087
Position Surface form Disambiguated ID Type / Status
Subject Colima Territory E51134 entity
Predicate region P40 FINISHED
Object Colima E64296 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: Colima | Statement: [Colima Territory, region, Colima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colima
Context triple: [Colima Territory, region, Colima]
  • A. Colima chosen
    Colima is a small Pacific-coast state in western Mexico known for its active Colima Volcano, agricultural production, and relatively high standard of living.
  • B. Colima Territory
    Colima Territory was a former federal territory in western Mexico that later became the state of Colima.
  • C. Cuautla
    Cuautla is a historic city in the Mexican state of Morelos, known for its key role in the Mexican War of Independence and later revolutionary movements.
  • D. Xalisco
    Xalisco is a municipality and town in the Mexican state of Nayarit, known for its agricultural activity and proximity to the state capital, Tepic.
  • E. Chimalhuacán
    Chimalhuacán is a densely populated urban municipality in the eastern part of the State of Mexico, forming part of the Mexico City metropolitan area.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc630b7ec819088735bde27fdabfe completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea87427f08190b8353f74c5231a32 completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:49 p.m.