Triple

T12792217
Position Surface form Disambiguated ID Type / Status
Subject canton of Romans-sur-Isère E305795 entity
Predicate contains P35 FINISHED
Object Charmes-sur-l’Herbasse
Charmes-sur-l’Herbasse is a small commune in the Drôme department of southeastern France, situated in a rural area characterized by agriculture and rolling countryside.
E1004939 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: Charmes-sur-l’Herbasse | Statement: [canton of Romans-sur-Isère, contains, Charmes-sur-l’Herbasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charmes-sur-l’Herbasse
Context triple: [canton of Romans-sur-Isère, contains, Charmes-sur-l’Herbasse]
  • A. Saint-Donat-sur-l’Herbasse
    Saint-Donat-sur-l’Herbasse is a commune in the Drôme department in southeastern France, known for its rural setting in the Herbasse valley.
  • B. Charneux
    Charneux is a village in the municipality of Jalhay in the province of Liège, in eastern Belgium.
  • C. Chauvigny
    Chauvigny is a historic town in western France known for its medieval fortifications and picturesque setting in the Vienne department of the Nouvelle-Aquitaine region.
  • D. Saint-Jean-d'Heurs
    Saint-Jean-d'Heurs is a small commune in the Puy-de-Dôme department in central France.
  • E. Assencières
    Assencières is a small commune in the Aube department of north-central France.
  • 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: Charmes-sur-l’Herbasse
Triple: [canton of Romans-sur-Isère, contains, Charmes-sur-l’Herbasse]
Generated description
Charmes-sur-l’Herbasse is a small commune in the Drôme department of southeastern France, situated in a rural area characterized by agriculture and rolling countryside.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Charmes-sur-l’Herbasse
Target entity description: Charmes-sur-l’Herbasse is a small commune in the Drôme department of southeastern France, situated in a rural area characterized by agriculture and rolling countryside.
  • A. Saint-Donat-sur-l’Herbasse
    Saint-Donat-sur-l’Herbasse is a commune in the Drôme department in southeastern France, known for its rural setting in the Herbasse valley.
  • B. Charneux
    Charneux is a village in the municipality of Jalhay in the province of Liège, in eastern Belgium.
  • C. Chauvigny
    Chauvigny is a historic town in western France known for its medieval fortifications and picturesque setting in the Vienne department of the Nouvelle-Aquitaine region.
  • D. Saint-Jean-d'Heurs
    Saint-Jean-d'Heurs is a small commune in the Puy-de-Dôme department in central France.
  • E. Assencières
    Assencières is a small commune in the Aube department of north-central France.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6b55248190ab938e69eb263612 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ebeab2081908a6e38351613e3ed completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f6900385548190befe667dc4e33af9 completed May 3, 2026, midnight
NED2 Entity disambiguation (via description) batch_69f690c0bd208190bd1f04a9640ad1ce completed May 3, 2026, 12:03 a.m.
Created at: April 9, 2026, 5:30 p.m.