Triple

T3107698
Position Surface form Disambiguated ID Type / Status
Subject Savoie E64871 entity
Predicate highestPoint P210 FINISHED
Object Grande Casse E98394 NE FINISHED

How this triple was built (2 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: Grande Casse | Statement: [Savoie, highestPoint, Grande Casse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grande Casse
Context triple: [Savoie, highestPoint, Grande Casse]
  • A. Grande Casse chosen
    Grande Casse is the highest peak in France’s Vanoise Massif, renowned among alpinists for its imposing limestone faces and classic mountaineering routes.
  • B. La Grande Brecque
    La Grande Brecque is one of the main rocky islets in the Les Écréhous reef and tidal island group off the coast of Jersey in the Channel Islands.
  • C. Casteau
    Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
  • D. La Grande
    La Grande is a small city in northeastern Oregon that serves as a regional hub and home to Eastern Oregon University.
  • E. La Paillade
    La Paillade is the traditional nickname of French football club Montpellier HSC, widely used by supporters and media to refer to the team.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29d4aa8819093287bc71370fc05 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2038c89248190b880108c82ad35b1 completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:04 p.m.