Triple

T14145038
Position Surface form Disambiguated ID Type / Status
Subject Giant’s Tooth E350522 entity
Predicate hasSummit P8024 FINISHED
Object Pointe Sella E350528 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: Pointe Sella | Statement: [Giant’s Tooth, hasSummit, Pointe Sella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pointe Sella
Context triple: [Giant’s Tooth, hasSummit, Pointe Sella]
  • A. Pointe Sella chosen
    Pointe Sella is one of the twin rocky summits forming part of the Dent du Géant peak in the Mont Blanc massif of the Alps.
  • B. Grand Ferrand peak
    Grand Ferrand peak is a prominent mountain in the French Prealps, known for its rugged limestone cliffs and panoramic views within the Dévoluy massif.
  • C. Monte Rey
    Monte Rey is an otter character known by the shortened name "Monte Rey."
  • D. Dent de la Rancune
    Dent de la Rancune is a striking volcanic rock pinnacle in France’s Massif Central, renowned among climbers and hikers for its dramatic, needle-like profile.
  • E. Monte Beragon
    Monte Beragon is a charming but morally dubious playboy and love interest in the 1945 film noir "Mildred Pierce," whose relationship with the title character contributes to her downfall.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61214de081909a5186ff11336f97 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf1b8508819096d4f5cf1456edca completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:53 a.m.