Triple

T13082627
Position Surface form Disambiguated ID Type / Status
Subject Pombo E310246 entity
Predicate componentOf P35 FINISHED
Object Linares y Pombo E78672 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: Linares y Pombo | Statement: [Pombo, componentOf, Linares y Pombo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linares y Pombo
Context triple: [Pombo, componentOf, Linares y Pombo]
  • A. Linares y Pombo chosen
    Linares y Pombo is the compound Spanish surname of Arsenio Linares y Pombo, a notable Spanish military officer and politician of the late 19th and early 20th centuries.
  • B. Linares
    Linares is a provincial capital and agricultural city in Chile’s Maule Region, known for its surrounding farmlands and wine production.
  • C. Linares
    Linares is a city in the province of Jaén in Andalusia, southern Spain, historically known for its mining industry and cultural heritage.
  • D. Linares
    Linares is a Spanish football club known for being one of the early teams in the playing career of manager Rafael Benítez.
  • E. Carballal
    Carballal is a Spanish surname, likely of Galician origin, that serves as a variant of the more common surname Carvajal.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9811add9881908a92186dab5b6d48 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e272629c8190926dbc9df447b6c4 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:01 p.m.