Triple

T15094019
Position Surface form Disambiguated ID Type / Status
Subject Aburrá Metropolitan Area E360491 entity
Predicate includesMunicipality P14658 FINISHED
Object La Estrella E671186 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: La Estrella | Statement: [Aburrá Metropolitan Area, includesMunicipality, La Estrella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Estrella
Context triple: [Aburrá Metropolitan Area, includesMunicipality, La Estrella]
  • A. La Estrella
    La Estrella is a rural municipality and town in central Chile’s Colchagua Province, known for its agricultural activities and traditional countryside character.
  • B. La Estrella chosen
    La Estrella is a municipality in the Antioquia department of Colombia, located in the metropolitan area of Medellín within the Aburrá Valley.
  • C. La Estrella
    La Estrella is a small locality in Chile’s Cardenal Caro Province, within the O'Higgins Region.
  • D. The Star
    The Star was a late 19th-century London evening newspaper known for its sensational and often moralistic coverage of crime and scandal.
  • E. The Star
    The Star is a 2017 animated Christian comedy film that retells the Nativity story from the perspective of the animals who accompany Mary and Joseph to Bethlehem.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0054571a48190a57055c0d6e90f82 completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae1f406081909d4925474370da86 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:04 a.m.