Triple

T23125569
Position Surface form Disambiguated ID Type / Status
Subject Taurus E577018 entity
Predicate adjacentConstellation P84072 FINISHED
Object Auriga NE NERFINISHED

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: Auriga | Statement: [Taurus, adjacentConstellation, Auriga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auriga
Context triple: [Taurus, adjacentConstellation, Auriga]
  • A. Auriga chosen
    Auriga is a prominent northern constellation best known for its bright star Capella and its pentagon-shaped pattern in the winter sky.
  • B. Bootes
    Bootes is a prominent northern constellation best known for its bright orange giant star Arcturus and its kite-shaped pattern in the night sky.
  • C. Cygnis
    Cygnis is a digital product development company specializing in custom web and mobile applications, often leveraging emerging technologies like AI and cloud platforms.
  • D. Sextans
    Sextans is a faint, small constellation in the celestial equator region, named after the astronomical sextant instrument.
  • E. Cygnus
    Cygnus is a prominent northern constellation, often called the Swan, that lies along the Milky Way and contains numerous notable stars and exoplanet-hosting systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e53ac288190b27fe8064fb576c2 completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.