Triple

T16945013
Position Surface form Disambiguated ID Type / Status
Subject East Bay Beach E411045 entity
Predicate hasView P854 FINISHED
Object Fidra E12804 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: Fidra | Statement: [East Bay Beach, hasView, Fidra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fidra
Context triple: [East Bay Beach, hasView, Fidra]
  • A. Fidra chosen
    Fidra is a small uninhabited island off the coast of East Lothian, Scotland, known for its lighthouse, seabird colonies, and as an inspiration for Robert Louis Stevenson.
  • B. Freirina
    Freirina is a small town and commune in northern Chile known for its agricultural activity and historic architecture within the Atacama Region.
  • C. Erial
    Erial is a residential unincorporated community and neighborhood located within Gloucester Township in Camden County, New Jersey.
  • D. Drena
    Drena is an American actress, filmmaker, and model, best known as the adopted daughter of actor Robert De Niro.
  • E. Silda
    Silda is a supporting character in the fantasy action film "The Scorpion King 3: Battle for Redemption," involved in the mystical and political conflicts surrounding the protagonist.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cfb14b788190be5b7f9c00c3e7ea completed April 18, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfeca4208190a3b9270869063d3d completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:31 a.m.