Triple

T6564680
Position Surface form Disambiguated ID Type / Status
Subject Vurës E153872 entity
Predicate hasAlternativeName P39 FINISHED
Object Vures
Vures is a village on the island of Vanua Lava in Torba Province, Vanuatu.
 E603814 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: Vures | Statement: [Vurës, hasAlternativeName, Vures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vures
Context triple: [Vurës, hasAlternativeName, Vures]
  • A. Vuren
    Vuren is a village and former municipality in the Dutch province of Gelderland, known for its location along the River Waal and its historic fortifications.
  • B. Varkaus
    Varkaus is a small industrial town and municipality in the Northern Savonia region of eastern Finland, known for its paper and wood-processing industries.
  • C. Brennen
    Brennen is a given name, typically used as a variant spelling of Brennan.
  • D. Le Furan
    Le Furan is the French name for the Furan River, a watercourse in central France that notably flows through the city of Saint-Étienne.
  • E. The Burning
    The Burning is a 1981 American slasher film, notable for its summer-camp setting and early special effects work by makeup artist Tom Savini.
  • 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: Vures
Triple: [Vurës, hasAlternativeName, Vures]
Generated description
Vures is a village on the island of Vanua Lava in Torba Province, Vanuatu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vures
Target entity description: Vures is a village on the island of Vanua Lava in Torba Province, Vanuatu.
  • A. Vuren
    Vuren is a village and former municipality in the Dutch province of Gelderland, known for its location along the River Waal and its historic fortifications.
  • B. Varkaus
    Varkaus is a small industrial town and municipality in the Northern Savonia region of eastern Finland, known for its paper and wood-processing industries.
  • C. Brennen
    Brennen is a given name, typically used as a variant spelling of Brennan.
  • D. Le Furan
    Le Furan is the French name for the Furan River, a watercourse in central France that notably flows through the city of Saint-Étienne.
  • E. The Burning
    The Burning is a 1981 American slasher film, notable for its summer-camp setting and early special effects work by makeup artist Tom Savini.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae3b9ec8819080f3052556d95810 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5622e0481909b0ac0f4e06d19bc completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d828620081909c1b4dfaa96efd62 completed March 27, 2026, 7:19 p.m.
NED2 Entity disambiguation (via description) batch_69c6d8a3d194819080f33e179a8a8679 completed March 27, 2026, 7:21 p.m.
Created at: March 27, 2026, 1:52 p.m.