Triple

T12160796
Position Surface form Disambiguated ID Type / Status
Subject Tryfan E289699 entity
Predicate hasNearbyPeak P7612 FINISHED
Object Glyder Fach E853164 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: Glyder Fach | Statement: [Tryfan, hasNearbyPeak, Glyder Fach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glyder Fach
Context triple: [Tryfan, hasNearbyPeak, Glyder Fach]
  • A. Glyder Fach chosen
    Glyder Fach is a prominent mountain peak in the Glyderau range of Snowdonia, Wales, known for its dramatic rock formations and popular hiking routes.
  • B. Kleiser
    Kleiser is a surname most notably associated with American film director Randal Kleiser, known for directing the musical romantic comedy "Grease."
  • C. Fager
    Fager is a surname most notably associated with American television producer and former CBS News chairman Jeff Fager.
  • D. Glisy
    Glisy is a commune in northern France’s Somme department, situated just east of Amiens.
  • E. Glespin
    Glespin is a small rural village in South Lanarkshire, Scotland, situated within the Douglasdale area.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c395e48190a16e97fd29787a51 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a0baf0819094e90b7e92b979d4 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.