Triple

T9852493
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Thionville E239500 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Basse-Ham E333444 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: Basse-Ham | Statement: [arrondissement of Thionville, containsAdministrativeTerritorialEntity, Basse-Ham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basse-Ham
Context triple: [arrondissement of Thionville, containsAdministrativeTerritorialEntity, Basse-Ham]
  • A. Basse-Ham chosen
    Basse-Ham is a small commune in the Moselle department of northeastern France, situated near the Luxembourg border in the Grand Est region.
  • B. Baïse
    Baïse is a river in southwestern France that flows through the Occitanie and Nouvelle-Aquitaine regions before joining the Garonne.
  • C. Hawise
    Hawise is a medieval European female given name borne by several noblewomen in England and France.
  • D. Bamble
    Bamble is a coastal municipality in Vestfold og Telemark county in southeastern Norway.
  • E. Benthall
    Benthall is a small village in Shropshire, England, known for its historic Benthall Hall and rural surroundings near the town of Broseley.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb375ba448190a32cca2b0f376ac1 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5ee190c8190957451d8d8291df3 completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:34 p.m.