Triple

T16777288
Position Surface form Disambiguated ID Type / Status
Subject Corbières Massif E407758 entity
Predicate contains P35 FINISHED
Object Termes
Termes is a small historic village in southern France, best known for the nearby medieval fortress Château de Termes, one of the former Cathar castles.
 E1073528 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: Termes | Statement: [Corbières Massif, contains, Termes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Termes
Context triple: [Corbières Massif, contains, Termes]
  • A. Termes
    Termes is a small sub-municipality village of Chiny in the Walloon region of southern Belgium.
  • B. Teramulus
    Teramulus is a genus of small silverside fishes within the family Atherinidae, native to freshwater and coastal waters of Madagascar.
  • C. Tectosages
    The Tectosages were an ancient Celtic tribe that formed one of the principal groups of the Galatians in central Anatolia.
  • D. Locusta
    Locusta was a notorious Roman poisoner of the 1st century AD, infamous for her role in high-profile political murders under Emperor Nero.
  • E. Etropus
    Etropus is a genus of small, bottom-dwelling flatfishes found primarily in coastal and continental shelf waters of the Americas.
  • 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: Termes
Triple: [Corbières Massif, contains, Termes]
Generated description
Termes is a small historic village in southern France, best known for the nearby medieval fortress Château de Termes, one of the former Cathar castles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Termes
Target entity description: Termes is a small historic village in southern France, best known for the nearby medieval fortress Château de Termes, one of the former Cathar castles.
  • A. Termes chosen
    Termes is a small sub-municipality village of Chiny in the Walloon region of southern Belgium.
  • B. Teramulus
    Teramulus is a genus of small silverside fishes within the family Atherinidae, native to freshwater and coastal waters of Madagascar.
  • C. Tectosages
    The Tectosages were an ancient Celtic tribe that formed one of the principal groups of the Galatians in central Anatolia.
  • D. Locusta
    Locusta was a notorious Roman poisoner of the 1st century AD, infamous for her role in high-profile political murders under Emperor Nero.
  • E. Etropus
    Etropus is a genus of small, bottom-dwelling flatfishes found primarily in coastal and continental shelf waters of the Americas.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b03a646c8190b3944c9f0c25af27 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aafe1f8081909b9540aca6e7b9b7 completed May 10, 2026, 3:57 p.m.
NEDg Description generation batch_6a00ac0e10648190803bf962a4677104 completed May 10, 2026, 4:02 p.m.
NED2 Entity disambiguation (via description) batch_6a00acc3a9dc819087e07e539760bf34 completed May 10, 2026, 4:05 p.m.
Created at: April 10, 2026, 5:22 a.m.