Triple

T21757602
Position Surface form Disambiguated ID Type / Status
Subject Lough Boora Discovery Park E537080 entity
Predicate locatedNear P294 FINISHED
Object Clara 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: Clara | Statement: [Lough Boora Discovery Park, locatedNear, Clara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clara
Context triple: [Lough Boora Discovery Park, locatedNear, Clara]
  • A. Clara
    Clara is a character in the American folk opera "Porgy and Bess," known as a young mother whose lullaby "Summertime" is one of the work’s most famous songs.
  • B. Clara
    Clara is a feminine given name of Latin origin, derived from "clarus" meaning "bright" or "famous."
  • C. Clara chosen
    Clara is a small Irish town located in County Offaly, known historically for its milling industry and proximity to the River Brosna.
  • D. Clara
    Clara is the young heroine of Tchaikovsky’s ballet "The Nutcracker," whose magical Christmas Eve adventure begins when her toy nutcracker comes to life.
  • E. Clara
    Clara is the central female protagonist of Pedro Almodóvar’s 1997 Spanish drama film "Live Flesh," around whom much of the film’s emotional and narrative tension revolves.
  • 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d8f64d881909cf10fd420153b09 completed April 28, 2026, 2:38 a.m.
Created at: April 16, 2026, 6:50 p.m.