Triple

T19431335
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Valenciennes E486119 entity
Predicate contains P35 FINISHED
Object Anzin
Anzin is a commune in northern France known historically for its coal mining industry and its location near the city of Valenciennes.
 E1375418 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: Anzin | Statement: [arrondissement of Valenciennes, contains, Anzin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anzin
Context triple: [arrondissement of Valenciennes, contains, Anzin]
  • A. Anzing
    Anzing is a small municipality in the district of Ebersberg in Upper Bavaria, Germany.
  • B. Azinhal
    Azinhal is a civil parish in the municipality of Castro Marim in Portugal’s Algarve region, known for its rural character and traditional village setting.
  • C. Zuino
    Zuino is a small hamlet (frazione) of the lakeside town of Gargnano in the Lombardy region of northern Italy.
  • D. Ozanne
    Ozanne is a river in France that serves as a right-bank tributary of the Loir.
  • E. Ancizan
    Ancizan is a small mountain village in the French Pyrenees, known for its scenic alpine landscapes and traditional rural character.
  • 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: Anzin
Triple: [arrondissement of Valenciennes, contains, Anzin]
Generated description
Anzin is a commune in northern France known historically for its coal mining industry and its location near the city of Valenciennes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anzin
Target entity description: Anzin is a commune in northern France known historically for its coal mining industry and its location near the city of Valenciennes.
  • A. Anzing
    Anzing is a small municipality in the district of Ebersberg in Upper Bavaria, Germany.
  • B. Azinhal
    Azinhal is a civil parish in the municipality of Castro Marim in Portugal’s Algarve region, known for its rural character and traditional village setting.
  • C. Zuino
    Zuino is a small hamlet (frazione) of the lakeside town of Gargnano in the Lombardy region of northern Italy.
  • D. Ozanne
    Ozanne is a river in France that serves as a right-bank tributary of the Loir.
  • E. Ancizan
    Ancizan is a small mountain village in the French Pyrenees, known for its scenic alpine landscapes and traditional rural character.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6335b4e388190913ded15ad165b7b completed April 20, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733db04a481909405391fdb2eee32 completed May 15, 2026, 2:55 p.m.
NEDg Description generation batch_6a0734c0a8588190904537467c581442 completed May 15, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_6a073545b2e48190a8cb78cb25785017 completed May 15, 2026, 3:01 p.m.
Created at: April 10, 2026, 1:37 p.m.