Triple

T21244304
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Boulogne-sur-Mer E523561 entity
Predicate contains P35 FINISHED
Object Pittefaux
Pittefaux is a small commune in the Pas-de-Calais department in northern France.
E1474166 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: Pittefaux | Statement: [arrondissement of Boulogne-sur-Mer, contains, Pittefaux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pittefaux
Context triple: [arrondissement of Boulogne-sur-Mer, contains, Pittefaux]
  • A. Quarreux
    Quarreux is a scenic hamlet in the municipality of Stoumont in Belgium’s Ardennes region, known for its picturesque river landscapes and natural surroundings.
  • B. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • C. Ferques
    Ferques is a small commune in the Pas-de-Calais department in northern France.
  • D. Trogneux
    Trogneux is a French surname notably borne by Brigitte Macron, the First Lady of France.
  • E. Thieux
    Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • 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: Pittefaux
Triple: [arrondissement of Boulogne-sur-Mer, contains, Pittefaux]
Generated description
Pittefaux is a small commune in the Pas-de-Calais department in northern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pittefaux
Target entity description: Pittefaux is a small commune in the Pas-de-Calais department in northern France.
  • A. Quarreux
    Quarreux is a scenic hamlet in the municipality of Stoumont in Belgium’s Ardennes region, known for its picturesque river landscapes and natural surroundings.
  • B. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • C. Ferques
    Ferques is a small commune in the Pas-de-Calais department in northern France.
  • D. Trogneux
    Trogneux is a French surname notably borne by Brigitte Macron, the First Lady of France.
  • E. Thieux
    Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7352621488190bd74c57798c7d658 completed April 21, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a098ff216888190bc6e6fff75fff994 completed May 17, 2026, 9:52 a.m.
NEDg Description generation batch_6a09908bb16081908cdb9d411c1f5bc8 completed May 17, 2026, 9:55 a.m.
NED2 Entity disambiguation (via description) batch_6a099162115c819098d7911354c10ff4 completed May 17, 2026, 9:58 a.m.
Created at: April 16, 2026, 3:47 p.m.