Triple

T10270750
Position Surface form Disambiguated ID Type / Status
Subject Castell y Gwynt E240827 entity
Predicate locatedOn P40 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: [Castell y Gwynt, locatedOn, Glyder Fach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glyder Fach
Context triple: [Castell y Gwynt, locatedOn, 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. Glespin
    Glespin is a small rural village in South Lanarkshire, Scotland, situated within the Douglasdale area.
  • E. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d27235ec819086152771206453f2 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71ceeeec88190a36a5e67dc44cfe1 completed April 9, 2026, 3:28 a.m.
Created at: April 6, 2026, 11:35 a.m.