Triple

T7699475
Position Surface form Disambiguated ID Type / Status
Subject Mysia E174451 entity
Predicate hasCity P316 FINISHED
Object Pitane E470820 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: Pitane | Statement: [Mysia, hasCity, Pitane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pitane
Context triple: [Mysia, hasCity, 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. 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.
  • C. Pankshin
    Pankshin is a town and local government area in central Nigeria known as an administrative and educational center within Plateau State.
  • D. Itaitinga
    Itaitinga is a municipality in the state of Ceará in northeastern Brazil, located in the metropolitan region of Fortaleza.
  • E. Fondotoce
    Fondotoce is a locality and frazione of the Italian town of Verbania, situated near the mouth of the Toce River on Lake Maggiore in the Piedmont region.
  • 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_69c6995a72cc8190998e56daa6f8e453 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7026ba7b48190a18f1c1cbbf1b944 completed March 27, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acb3ac4481909acafe50b9507aaa completed March 29, 2026, 4:38 a.m.
Created at: March 27, 2026, 4:03 p.m.