Triple

T18346734
Position Surface form Disambiguated ID Type / Status
Subject Presencia de América Latina E439559 entity
Predicate location P40 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: [Presencia de América Latina, location, Concepción]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concepción
Context triple: [Presencia de América Latina, location, 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f4740c8190b70ba48a4232953e completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 10:37 a.m.