Triple

T8916485
Position Surface form Disambiguated ID Type / Status
Subject Ekur E212307 entity
Predicate associatedDeity P1481 FINISHED
Object Nuska E212312 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: Nuska | Statement: [Ekur, associatedDeity, Nuska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuska
Context triple: [Ekur, associatedDeity, Nuska]
  • A. Nuska chosen
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • B. Naujaat
    Naujaat is a small Inuit community in Nunavut, Canada, located on the Arctic coast at the north end of Roes Welcome Sound.
  • C. Nulvi
    Nulvi is a small town and comune in the province of Sassari on the Italian island of Sardinia, known for its rural traditions and scenic hilly landscape.
  • D. Nasuella
    Nasuella is a small genus of South American carnivorous mammals known as mountain coatis, characterized by their elongated snouts and arboreal habits.
  • E. Nuosu
    Nuosu are a subgroup of the Yi people in southwest China, known for their distinct Tibeto-Burman language, script, and highland culture.
  • 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6610cd48819090a184c5f9465626 completed April 1, 2026, 12:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba4567a88190855b964bc6e3ac6f completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:56 p.m.