Triple

T2974155
Position Surface form Disambiguated ID Type / Status
Subject Ourea E80352 entity
Predicate hasMember P10 FINISHED
Object Nysa E316972 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: Nysa | Statement: [Ourea, hasMember, Nysa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nysa
Context triple: [Ourea, hasMember, Nysa]
  • A. Nysa chosen
    Nysa is a mythical mountainous region in Greek mythology, often associated with the upbringing of the god Dionysus.
  • B. Nysa Kłodzka
    Nysa Kłodzka is a river in southwestern Poland that flows through the Kłodzko Valley and Silesia before joining the Oder.
  • C. Ravina
    Ravina was a prominent Babylonian Talmudic sage of the Amoraic period, traditionally regarded as one of the final redactors of the Talmud.
  • D. Parys
    Parys is a small South African town in the Free State province, known for its scenic setting on the Vaal River and proximity to the Vredefort Dome, a UNESCO World Heritage-listed impact crater.
  • E. Zau
    Zau is an ancient city, historically known as Sais, that served as an important religious and political center in Egypt’s Nile Delta.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99894bb0819099fa5cc5166c0eeb completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e27863881909c1c4b26e030e4bf completed March 11, 2026, 8:56 a.m.
Created at: March 8, 2026, 2:58 p.m.