Triple

T3216079
Position Surface form Disambiguated ID Type / Status
Subject Kékes E67397 entity
Predicate locatedIn P40 FINISHED
Object Matra Mountains E67397 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: Matra Mountains | Statement: [Kékes, locatedIn, Matra Mountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matra Mountains
Context triple: [Kékes, locatedIn, Matra Mountains]
  • A. Matra Mountains chosen
    The Matra Mountains are a volcanic mountain range in northern Hungary, known for containing Kékes, the country’s highest peak.
  • B. Bauges Mountains
    The Bauges Mountains are a limestone massif in the French Prealps of Savoie and Haute-Savoie, known for their rugged peaks, alpine pastures, and protected natural landscapes within the Parc naturel régional du Massif des Bauges.
  • C. Sila Mountains
    The Sila Mountains are a forested mountainous plateau in Calabria, southern Italy, known for their national park, lakes, and biodiversity.
  • D. Hajhir Mountains
    The Hajhir Mountains are a rugged, highland range on the island of Socotra, known for their dramatic granite peaks and unique biodiversity.
  • E. Bayan Har Mountains
    The Bayan Har Mountains are a remote mountain range on the northeastern Tibetan Plateau in China, known for their high-altitude terrain and role as a major watershed dividing the sources of several important Asian rivers.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adab096b588190b22e41a76263ae92 completed March 8, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e826c50c8190a6e472e7a8862df2 completed March 12, 2026, 4:21 p.m.
Created at: March 8, 2026, 3:07 p.m.