Triple

T5709461
Position Surface form Disambiguated ID Type / Status
Subject Arvanitika E125867 entity
Predicate region 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: [Arvanitika, region, Attica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Attica
Context triple: [Arvanitika, region, 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. Attica
    Attica is a small unincorporated community located in Marion County, Iowa, in the United States.
  • C. 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.
  • D. 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.
  • E. Dannemora, New York
    Dannemora, New York is a small village in Clinton County best known for its large maximum-security state prison, which dominates the local economy and identity.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0248c3dac8190824fca9ddde89665 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a6f5ac08190b5acbccea756d2de completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:46 p.m.