Triple

T16595601
Position Surface form Disambiguated ID Type / Status
Subject Perrhaebia E403196 entity
Predicate hasCity P316 FINISHED
Object Oloosson E1129795 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: Oloosson | Statement: [Perrhaebia, hasCity, Oloosson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oloosson
Context triple: [Perrhaebia, hasCity, Oloosson]
  • A. Oloosson chosen
    Oloosson is an ancient town of Thessaly in Greece, known from classical sources and later identified with the modern area of Elassona.
  • B. Olaus
    Olaus is a Latinized form of the Old Norse name Óláfr, historically used in Scandinavian and ecclesiastical contexts.
  • C. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • D. Ingonish
    Ingonish is a small coastal community on Cape Breton Island in Nova Scotia, Canada, known as a gateway to the Cabot Trail and nearby highland and ocean scenery.
  • E. Kinnula
    Kinnula is a small rural municipality in western Central Finland known for its forests, lakes, and outdoor recreation.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d717604819083ed60b865bbd13e completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00759fe6ec81908c5321dcba558269 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:16 a.m.