Triple

T3067127
Position Surface form Disambiguated ID Type / Status
Subject Tom Stoppard E62129 entity
Predicate notableWork P4 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: [Tom Stoppard, notableWork, Arcadia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arcadia
Context triple: [Tom Stoppard, notableWork, 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. The Arcadian
    The Arcadian is a popular entertainment and leisure complex in Birmingham, England, known for its mix of bars, restaurants, and nightlife venues.
  • D. Asphodel Meadows
    Asphodel Meadows is a region of the Greek underworld where the souls of ordinary or unremarkable mortals dwell after death.
  • E. Godstone
    Godstone is a village in Surrey, England, known for its historic charm and location near major transport routes.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fea06881909e5251eea26599ac completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f87bec6c8190ae928fc7c4467859 completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:02 p.m.