Triple

T10188498
Position Surface form Disambiguated ID Type / Status
Subject Florennes E236971 entity
Predicate hasNeighbouringMunicipality P224 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: [Florennes, hasNeighbouringMunicipality, Onhaye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Onhaye
Context triple: [Florennes, hasNeighbouringMunicipality, Onhaye]
  • A. Onhaye chosen
    Onhaye is a small municipality in the Walloon region of Belgium, known for its rural landscapes and historic villages.
  • B. 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.
  • C. Nguna
    Nguna is an Oceanic language of Vanuatu, spoken primarily on Nguna Island and nearby areas in the central part of the country.
  • D. Othomi
    Othomi is an alternative name for the Otomi people and their indigenous language of central Mexico.
  • E. Khanke
    Khanke is a village in northern Iraq’s Kurdistan Region, known for hosting large camps for internally displaced Yazidis who fled ISIS violence.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded7c3278819093312665b54d888c completed April 2, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317b734a4819085645caea8ba0481 completed April 6, 2026, 2:17 a.m.
Created at: March 30, 2026, 9:12 p.m.