Triple

T5309243
Position Surface form Disambiguated ID Type / Status
Subject Ranco Province E118979 entity
Predicate containsCity P294 FINISHED
Object La Unión E106061 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 Unión | Statement: [Ranco Province, containsCity, La Unión]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Unión
Context triple: [Ranco Province, containsCity, La Unión]
  • A. La Unión chosen
    La Unión is a Chilean city in the Los Ríos Region known for its agricultural activities, dairy production, and role as a local commercial center.
  • B. La Unión
    La Unión is a coastal city in southeastern El Salvador that serves as a major Pacific port and gateway on the Gulf of Fonseca.
  • C. La Séptima
    La Séptima is the popular name for Bogotá’s major thoroughfare, Seventh Avenue, a central artery of the city’s commercial, cultural, and political life.
  • D. La Première
    La Première is a Swiss French-language public radio station operated by Radio Télévision Suisse, offering news, culture, and talk programming.
  • E. La Première
    La Première is a French public television network of regional channels serving France’s overseas departments and territories, operated by the national broadcaster France Télévisions.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8532c26c819084f5b8de542cd309 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21b546a481909d18cad5ec391705 completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 1:53 p.m.