Triple

T19614699
Position Surface form Disambiguated ID Type / Status
Subject Aeolis cultural region E470827 entity
Predicate includesCity P3207 FINISHED
Object Pitane 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: Pitane | Statement: [Aeolis cultural region, includesCity, Pitane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pitane
Context triple: [Aeolis cultural region, includesCity, Pitane]
  • A. Pitane chosen
    Pitane was an ancient coastal city of Aeolis in western Asia Minor, known as a Greek settlement near the mouth of the Caicus River.
  • B. Tinopai
    Tinopai is a small coastal settlement in New Zealand’s Northland region, situated on the shores of the Kaipara Harbour.
  • C. Oenpelli
    Oenpelli is a remote Aboriginal community in Australia’s Northern Territory, known for its rich Indigenous culture and rock art in western Arnhem Land.
  • D. Pankshin
    Pankshin is a town and local government area in central Nigeria known as an administrative and educational center within Plateau State.
  • E. Itaitinga
    Itaitinga is a municipality in the state of Ceará in northeastern Brazil, located in the metropolitan region of Fortaleza.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640ce272481909688527f72d2c976 completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.