Triple

T9857844
Position Surface form Disambiguated ID Type / Status
Subject 1st Wing Historical Centre E239632 entity
Predicate locatedIn P40 FINISHED
Object Beauvechain E239630 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: Beauvechain | Statement: [1st Wing Historical Centre, locatedIn, Beauvechain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beauvechain
Context triple: [1st Wing Historical Centre, locatedIn, Beauvechain]
  • A. Beauvechain chosen
    Beauvechain is a municipality in Walloon Brabant, Belgium, known for its rural character and the presence of a major Belgian Air Component base.
  • B. Gravelotte
    Gravelotte is a village in northeastern France best known as the site of a major 1870 Franco-Prussian War battle.
  • C. Crépy-en-Valois
    Crépy-en-Valois is a commune in the Oise department of northern France, known for its historic medieval center and role as a regional rail terminus.
  • D. Bazeilles
    Bazeilles is a commune in northeastern France, historically notable as a battlefield during the Franco-Prussian War.
  • E. Montmédy
    Montmédy is a fortified town in northeastern France near the Luxembourg and Belgian borders, historically significant as the intended royal refuge during the failed Flight to Varennes in 1791.
  • 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb399bd8081908281d1735cc3909f completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1ead91ee88190bd4cb28ab16bf703 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:35 p.m.