Triple

T5363427
Position Surface form Disambiguated ID Type / Status
Subject Nunki E103073 entity
Predicate hasTraditionalName P17611 FINISHED
Object Nunki E103073 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: Nunki | Statement: [Nunki, hasTraditionalName, Nunki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nunki
Context triple: [Nunki, hasTraditionalName, Nunki]
  • A. Nunki chosen
    Nunki is a prominent blue-white star in the constellation Sagittarius, known as one of its brightest and most easily recognizable members.
  • B. Shapash
    Shapash is the Phoenician sun goddess, often depicted as a powerful celestial deity associated with light, justice, and guidance among the gods and humans.
  • C. Mylasa
    Mylasa was an important ancient city of Caria in southwestern Anatolia, known as a political and religious center, particularly for the worship of Zeus.
  • D. Tamyen
    Tamyen is an extinct Ohlone (Costanoan) Native American language once spoken in the Santa Clara Valley region of California.
  • E. Nesuhi
    Nesuhi was a prominent Turkish-American record producer and music executive best known for his influential work in jazz, particularly at Atlantic Records.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd865b9b808190a1e8c283ba28d645 completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21f2bc708190b596c5402fa07e75 completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:02 p.m.