Triple

T9365049
Position Surface form Disambiguated ID Type / Status
Subject Vimy, France E225377 entity
Predicate hasNearbyCity P350 FINISHED
Object Liévin
Liévin is a commune in the Pas-de-Calais department in northern France, historically linked to coal mining and now part of the Lens–Liévin urban area.
 E794784 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: Liévin | Statement: [Vimy, France, hasNearbyCity, Liévin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Liévin
Context triple: [Vimy, France, hasNearbyCity, Liévin]
  • A. Ville-la-Grand
    Ville-la-Grand is a commune in the Haute-Savoie department of southeastern France, situated near the Swiss border in the urban area of Annemasse.
  • B. Labé
    Labé is a major city in central Guinea that serves as an important administrative, commercial, and cultural hub of the Fouta Djallon region.
  • C. Brest
    Brest is a major port city in northwestern France that serves as one of the country’s principal naval and maritime centers.
  • D. Ducos
    Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
  • E. Lübars
    Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
  • 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: Liévin
Triple: [Vimy, France, hasNearbyCity, Liévin]
Generated description
Liévin is a commune in the Pas-de-Calais department in northern France, historically linked to coal mining and now part of the Lens–Liévin urban area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Liévin
Target entity description: Liévin is a commune in the Pas-de-Calais department in northern France, historically linked to coal mining and now part of the Lens–Liévin urban area.
  • A. Ville-la-Grand
    Ville-la-Grand is a commune in the Haute-Savoie department of southeastern France, situated near the Swiss border in the urban area of Annemasse.
  • B. Labé
    Labé is a major city in central Guinea that serves as an important administrative, commercial, and cultural hub of the Fouta Djallon region.
  • C. Brest
    Brest is a major port city in northwestern France that serves as one of the country’s principal naval and maritime centers.
  • D. Ducos
    Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
  • E. Lübars
    Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd503fd7f081909655e2a880c84834 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3f3c420819084b65fd4537aaf93 completed April 4, 2026, 11:20 a.m.
NEDg Description generation batch_69d0f619e91081909c2ec17e89376295 completed April 4, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_69d0f6ce1a0c8190aca34958935e0e59 completed April 4, 2026, 11:32 a.m.
Created at: March 30, 2026, 7:43 p.m.