Triple

T11460769
Position Surface form Disambiguated ID Type / Status
Subject Chablais Alps E271652 entity
Predicate highestPoint P210 FINISHED
Object Hauts-Forts
Hauts-Forts is a prominent mountain peak in the French Alps, known for its rugged terrain and popularity among hikers and skiers.
E927777 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: Hauts-Forts | Statement: [Chablais Alps, highestPoint, Hauts-Forts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hauts-Forts
Context triple: [Chablais Alps, highestPoint, Hauts-Forts]
  • A. Terre-de-Haut
    Terre-de-Haut is a small Caribbean island in the Guadeloupe archipelago, known for its picturesque bay, Creole culture, and popular seaside tourism.
  • B. Lavaltrie
    Lavaltrie is a suburban municipality in southwestern Quebec, Canada, located northeast of Montreal along the north shore of the Saint Lawrence River.
  • C. Guernanville
    Guernanville is a small commune in northern France, located within the Eure department in the Normandy region.
  • D. Mont-Organisé
    Mont-Organisé is a commune in northeastern Haiti known for its rural character and proximity to the Dominican Republic border.
  • E. Sainte-Marie
    Sainte-Marie is a town in the Chaudière-Appalaches region of Quebec, Canada, known for its location along the Chaudière River and its historical Acadian roots.
  • 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: Hauts-Forts
Triple: [Chablais Alps, highestPoint, Hauts-Forts]
Generated description
Hauts-Forts is a prominent mountain peak in the French Alps, known for its rugged terrain and popularity among hikers and skiers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hauts-Forts
Target entity description: Hauts-Forts is a prominent mountain peak in the French Alps, known for its rugged terrain and popularity among hikers and skiers.
  • A. Terre-de-Haut
    Terre-de-Haut is a small Caribbean island in the Guadeloupe archipelago, known for its picturesque bay, Creole culture, and popular seaside tourism.
  • B. Lavaltrie
    Lavaltrie is a suburban municipality in southwestern Quebec, Canada, located northeast of Montreal along the north shore of the Saint Lawrence River.
  • C. Guernanville
    Guernanville is a small commune in northern France, located within the Eure department in the Normandy region.
  • D. Mont-Organisé
    Mont-Organisé is a commune in northeastern Haiti known for its rural character and proximity to the Dominican Republic border.
  • E. Sainte-Marie
    Sainte-Marie is a town in the Chaudière-Appalaches region of Quebec, Canada, known for its location along the Chaudière River and its historical Acadian roots.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f384f08190b1150ed1389dd31a completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e91f1bb881909a9c36d837e4059b completed April 20, 2026, 8:51 a.m.
NEDg Description generation batch_69e5f1593c2c8190885f80ad5eeba3ec completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f87bbd988190ac388a3c34b2e95a completed April 20, 2026, 9:57 a.m.
Created at: April 8, 2026, 9:35 p.m.