Triple

T3259847
Position Surface form Disambiguated ID Type / Status
Subject Benaki Museum E68382 entity
Predicate locatedIn P40 FINISHED
Object Attica E7089 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: Attica | Statement: [Benaki Museum, locatedIn, Attica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Attica
Context triple: [Benaki Museum, locatedIn, Attica]
  • A. Attica chosen
    Attica is a historical region of central Greece that includes the capital city of Athens and has been a core center of Greek civilization since antiquity.
  • B. Blackwell's Island
    Blackwell's Island, now known as Roosevelt Island, is a narrow island in New York City's East River historically associated with hospitals, asylums, and prisons.
  • C. Fulton
    Fulton is a small city in northwestern Illinois known for its location along the Mississippi River and its Dutch heritage, including a working Dutch windmill.
  • D. Dannemora
    Dannemora is a residential suburb in East Auckland, New Zealand, known for its modern housing developments and family-oriented community.
  • E. Lincoln Prison
    Lincoln Prison is a correctional facility located in the city of Lincoln in Lincolnshire, England.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adafa673a481909b5024b4e0e1c2a7 completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bb1c468819083b50b5858f8afe0 completed March 12, 2026, 11:26 p.m.
Created at: March 8, 2026, 3:09 p.m.