Triple

T23107396
Position Surface form Disambiguated ID Type / Status
Subject Anse, Rhône E576211 entity
Predicate hasDemonym P191 FINISHED
Object Ansois
Ansois is the French demonym for inhabitants of the commune of Anse in the Rhône department.
 E1572389 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: Ansois | Statement: [Anse, Rhône, hasDemonym, Ansois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ansois
Context triple: [Anse, Rhône, hasDemonym, Ansois]
  • A. Voire
    Voire is a French river known locally as the Voire, flowing through the Grand Est region of northeastern France.
  • B. Avranchin
    Avranchin is a regional dialect of the Norman language traditionally spoken around the town of Avranches in Normandy, France.
  • C. Loiseau
    Loiseau is a French surname most notably borne by Gustave Loiseau, a post-Impressionist painter known for his landscapes and depictions of rural France.
  • D. Oultrejourdain
    Oultrejourdain was a medieval Crusader lordship located east of the Jordan River, encompassing key fortresses and trade routes in what is now southern Jordan.
  • E. Boucau
    Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
  • 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: Ansois
Triple: [Anse, Rhône, hasDemonym, Ansois]
Generated description
Ansois is the French demonym for inhabitants of the commune of Anse in the Rhône department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ansois
Target entity description: Ansois is the French demonym for inhabitants of the commune of Anse in the Rhône department.
  • A. Voire
    Voire is a French river known locally as the Voire, flowing through the Grand Est region of northeastern France.
  • B. Avranchin
    Avranchin is a regional dialect of the Norman language traditionally spoken around the town of Avranches in Normandy, France.
  • C. Loiseau
    Loiseau is a French surname most notably borne by Gustave Loiseau, a post-Impressionist painter known for his landscapes and depictions of rural France.
  • D. Oultrejourdain
    Oultrejourdain was a medieval Crusader lordship located east of the Jordan River, encompassing key fortresses and trade routes in what is now southern Jordan.
  • E. Boucau
    Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0c7b9c8190b1160485eae87c9b completed April 29, 2026, 4:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3081e8dc81909b2d551b10bad01a completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c314598d081908816ff2bee9b192a completed May 19, 2026, 9:45 a.m.
NED2 Entity disambiguation (via description) batch_6a0c3245c9808190ab5212a14aa2e42e completed May 19, 2026, 9:49 a.m.
Created at: April 17, 2026, 3:58 p.m.