Triple

T13048465
Position Surface form Disambiguated ID Type / Status
Subject Condroz E327385 entity
Predicate containsSettlement P847 FINISHED
Object Onhaye E715893 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: Onhaye | Statement: [Condroz, containsSettlement, Onhaye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Onhaye
Context triple: [Condroz, containsSettlement, Onhaye]
  • A. Onhaye chosen
    Onhaye is a small municipality in the Walloon region of Belgium, known for its rural landscapes and historic villages.
  • B. Orahili
    Orahili is a traditional village on Indonesia’s Nias Island known for its distinctive vernacular architecture and preserved local customs.
  • C. Yahi
    The Yahi were a small Native American group from northern California, known for being among the last surviving independent Indigenous peoples in the region and for the story of Ishi, their last known member.
  • D. Nguna
    Nguna is an Oceanic language of Vanuatu, spoken primarily on Nguna Island and nearby areas in the central part of the country.
  • E. Othomi
    Othomi is an alternative name for the Otomi people and their indigenous language of central Mexico.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b8811c81908577f092e2736610 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd8f1308190992c0bd832e1b05e completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:57 p.m.