Triple

T14291585
Position Surface form Disambiguated ID Type / Status
Subject Pinogana District E354324 entity
Predicate capital P234 FINISHED
Object Yaviza E498226 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: Yaviza | Statement: [Pinogana District, capital, Yaviza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yaviza
Context triple: [Pinogana District, capital, Yaviza]
  • A. Yaviza chosen
    Yaviza is a small town in Panama’s Darién Province known as the southern terminus of the Pan-American Highway and a gateway to the remote Darién region.
  • B. Rovenna
    Rovenna is a small village and frazione of the municipality of Cernobbio in the Province of Como, Lombardy, northern Italy.
  • C. Tamaran
    Tamaran is a fictional alien planet in the DC Comics universe, best known as the war-torn, sun-powered home of the superheroine Starfire and her people, the Tamaraneans.
  • D. Faraya
    Faraya is a popular Lebanese mountain village and ski resort town known for its scenic landscapes and winter sports.
  • E. Mawani
    Mawani is Saudi Arabia’s national ports authority, responsible for overseeing, regulating, and developing the country’s seaport infrastructure and operations.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6981e9148190baf2ed56a7b7340e completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1fee448190bcafb37dd6618d60 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.