Triple

T4149113
Position Surface form Disambiguated ID Type / Status
Subject Parnon mountain range E89860 entity
Predicate separates P1175 FINISHED
Object Arcadia E37657 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: Arcadia | Statement: [Parnon mountain range, separates, Arcadia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arcadia
Context triple: [Parnon mountain range, separates, Arcadia]
  • A. Arcadia
    Arcadia is a suburban city in Los Angeles County, California, known for its affluent neighborhoods, the Santa Anita Park racetrack, and the Los Angeles County Arboretum and Botanic Garden.
  • B. Arcadia chosen
    Arcadia is a mountainous region in the central Peloponnese of Greece, historically famed as a rustic, pastoral idyll in art and literature.
  • C. Arcadia
    Arcadia is a critically acclaimed 1993 play by Tom Stoppard that intertwines past and present to explore themes of chaos, knowledge, and romantic entanglements.
  • D. The Arcadian
    The Arcadian is a popular entertainment and leisure complex in Birmingham, England, known for its mix of bars, restaurants, and nightlife venues.
  • E. The Grove
    The Grove is a popular open-air shopping, dining, and entertainment complex in Los Angeles known for its upscale retailers and lively atmosphere.
  • 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02624a9c8190900e42e845ab7e4f completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f34c748819093d03ccddd3e1f75 completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:43 p.m.