Triple

T19028243
Position Surface form Disambiguated ID Type / Status
Subject Anafi E465666 entity
Predicate hasSettlement P1068 FINISHED
Object Chora 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: Chora | Statement: [Anafi, hasSettlement, Chora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chora
Context triple: [Anafi, hasSettlement, Chora]
  • A. Chora
    Chora is the main town and administrative center of the Greek island of Patmos, known for its traditional architecture and proximity to the Monastery of Saint John the Theologian.
  • B. Chora
    Chora is the main town and historic center of the Greek island of Mykonos, known for its whitewashed Cycladic architecture, winding alleys, and vibrant nightlife.
  • C. Chora
    Chora is the main town of the Greek island of Astypalaia, known for its whitewashed houses, hilltop castle, and traditional Cycladic character.
  • D. Chora
    Chora is the traditional main village of the Greek island of Alonissos, known for its picturesque hillside setting and historic architecture.
  • E. Chora chosen
    Chora is the main village and administrative center of the Greek island of Anafi, known for its traditional Cycladic architecture and hilltop setting.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d73ec9088190a98e214bd56e8622 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.