Triple

T9218466
Position Surface form Disambiguated ID Type / Status
Subject Bertogne E221298 entity
Predicate hasSubdivision P747 FINISHED
Object Flamierge
Flamierge is a small village in the municipality of Bertogne in the Luxembourg province of Wallonia, Belgium.
 E786052 NE FINISHED

How this triple was built (4 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: Flamierge | Statement: [Bertogne, hasSubdivision, Flamierge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Flamierge
Context triple: [Bertogne, hasSubdivision, Flamierge]
  • A. Frosine
    Frosine is a clever, manipulative go-between and matchmaker in Molière’s comedy "L’Avare," known for scheming to her own advantage.
  • B. Plumetot
    Plumetot is a small commune in the Calvados department of the Normandy region in northwestern France.
  • C. Olympia Bruno Coquatrix
    Olympia Bruno Coquatrix is a historic and iconic Parisian music hall renowned for hosting major international concerts and performances.
  • D. Picus
    Picus is a figure from Roman mythology, a handsome king and hunter who was transformed into a woodpecker by the sorceress Circe.
  • E. Ptiloris
    Ptiloris is a genus of birds-of-paradise known for the males’ iridescent plumage and elaborate courtship displays.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Flamierge
Triple: [Bertogne, hasSubdivision, Flamierge]
Generated description
Flamierge is a small village in the municipality of Bertogne in the Luxembourg province of Wallonia, Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Flamierge
Target entity description: Flamierge is a small village in the municipality of Bertogne in the Luxembourg province of Wallonia, Belgium.
  • A. Frosine
    Frosine is a clever, manipulative go-between and matchmaker in Molière’s comedy "L’Avare," known for scheming to her own advantage.
  • B. Plumetot
    Plumetot is a small commune in the Calvados department of the Normandy region in northwestern France.
  • C. Olympia Bruno Coquatrix
    Olympia Bruno Coquatrix is a historic and iconic Parisian music hall renowned for hosting major international concerts and performances.
  • D. Picus
    Picus is a figure from Roman mythology, a handsome king and hunter who was transformed into a woodpecker by the sorceress Circe.
  • E. Ptiloris
    Ptiloris is a genus of birds-of-paradise known for the males’ iridescent plumage and elaborate courtship displays.
  • F. None of above. chosen

Provenance (5 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda730f688190b64b2cc8c4898ac3 completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0662427dc81908cb9bfacc5b9e0f5 completed April 4, 2026, 1:15 a.m.
NEDg Description generation batch_69d0697b506c8190b14acbec1266f4bc completed April 4, 2026, 1:29 a.m.
NED2 Entity disambiguation (via description) batch_69d06a01520081908f697cf285c88c00 completed April 4, 2026, 1:31 a.m.
Created at: March 30, 2026, 7:27 p.m.