Triple

T21633891
Position Surface form Disambiguated ID Type / Status
Subject Crosskeys E533903 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Risca NE NERFINISHED

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: Risca | Statement: [Crosskeys, hasNearbySettlement, Risca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Risca
Context triple: [Crosskeys, hasNearbySettlement, Risca]
  • A. Risca chosen
    Risca is a town in south Wales situated in the county borough of Caerphilly, near Newport, with a history rooted in coal mining and industry.
  • B. Brunete
    Brunete is a town in the Community of Madrid, Spain, historically notable as a major battleground of the Spanish Civil War.
  • C. Baarìa
    Baarìa is an Italian epic drama film directed by Giuseppe Tornatore that chronicles several generations of life, politics, and love in a Sicilian town.
  • D. Colomars
    Colomars is a small commune in southeastern France situated in the hills northwest of Nice, known for its scenic Mediterranean landscape and proximity to the French Riviera.
  • E. Clara-Villerach
    Clara-Villerach is a small commune in the Pyrénées-Orientales department of southern France, known for its rural setting in the historic Conflent region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef52192e388190a3f316e33f452561 completed April 27, 2026, 12:10 p.m.
Created at: April 16, 2026, 6:35 p.m.