Triple

T20529969
Position Surface form Disambiguated ID Type / Status
Subject Laguna Grande de San Pedro E504041 entity
Predicate isNear P350 FINISHED
Object Concepción NE NERFINISHED

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: Concepción | Statement: [Laguna Grande de San Pedro, isNear, Concepción]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concepción
Context triple: [Laguna Grande de San Pedro, isNear, Concepción]
  • A. Concepción
    Concepción was one of the ships in Ferdinand Magellan’s expedition that took part in the first circumnavigation of the globe.
  • B. Concepción
    Concepción is a city in northern Paraguay known as a regional commercial and river port hub.
  • C. Concepción
    Concepción is the flirtatious and cunning clockmaker’s wife at the center of Maurice Ravel’s comic opera "L’heure espagnole," around whom the farcical romantic intrigues revolve.
  • D. Concepción
    Concepción is a Spanish feminine given name, often associated with traditional Catholic devotion to the Immaculate Conception.
  • E. Concepción chosen
    Concepción is a major Chilean city in the south-central part of the country, known as an important industrial, commercial, and educational center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b3a6e08190ae663701f50fab8e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a069edf88190835a9c392c990c55 completed April 20, 2026, 9:53 p.m.
Created at: April 16, 2026, 11:37 a.m.