Triple

T2175502
Position Surface form Disambiguated ID Type / Status
Subject Canton of Valence-1 E48516 entity
Predicate hasFrenchName P744 FINISHED
Object Valence-1
Valence-1 is an administrative canton in southeastern France, centered around part of the city of Valence in the Drôme department.
 E8671 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: Valence-1 | Statement: [Canton of Valence-1, hasFrenchName, Valence-1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Valence-1
Context triple: [Canton of Valence-1, hasFrenchName, Valence-1]
  • A. Valence
    Valence is a historic city in southeastern France known as a key cultural and commercial center in the Drôme department.
  • B. Vals
    Vals is a Swiss Alpine village in the canton of Graubünden, renowned for its hot springs and Peter Zumthor’s iconic Therme Vals spa complex.
  • C. Val
    Val is the Allied reporting name for the Aichi D3A, a Japanese World War II carrier-based dive bomber used prominently in early Pacific naval battles.
  • D. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • E. sentimo
    Sentimo is the fractional monetary unit of the Philippine peso, equivalent to one-hundredth of a peso.
  • 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: Valence-1
Triple: [Canton of Valence-1, hasFrenchName, Valence-1]
Generated description
Valence-1 is an administrative canton in southeastern France, centered around part of the city of Valence in the Drôme department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Valence-1
Target entity description: Valence-1 is an administrative canton in southeastern France, centered around part of the city of Valence in the Drôme department.
  • A. Valence chosen
    Valence is a historic city in southeastern France known as a key cultural and commercial center in the Drôme department.
  • B. Vals
    Vals is a Swiss Alpine village in the canton of Graubünden, renowned for its hot springs and Peter Zumthor’s iconic Therme Vals spa complex.
  • C. Val
    Val is the Allied reporting name for the Aichi D3A, a Japanese World War II carrier-based dive bomber used prominently in early Pacific naval battles.
  • D. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • E. sentimo
    Sentimo is the fractional monetary unit of the Philippine peso, equivalent to one-hundredth of a peso.
  • F. None of above.

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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbece30888190936853740ff6cb02 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d9eff988190a02734bd73616cba completed March 9, 2026, 5:41 a.m.
NEDg Description generation batch_69ae5e5f023081909cd046b5850f8026 completed March 9, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ef99018819083a778378ea493e8 completed March 9, 2026, 5:47 a.m.
Created at: March 4, 2026, 7:45 p.m.