Triple

T21365822
Position Surface form Disambiguated ID Type / Status
Subject Nhava Island E526909 entity
Predicate nearbyCity P350 FINISHED
Object Uran 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: Uran | Statement: [Nhava Island, nearbyCity, Uran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uran
Context triple: [Nhava Island, nearbyCity, Uran]
  • A. Uran chosen
    Uran is a coastal town and municipal council in Maharashtra, India, known for its fishing industry, port facilities, and proximity to Mumbai.
  • B. Uranus
    Uranus is an ice giant planet in our Solar System, notable for its pale blue-green color and extreme axial tilt that causes it to rotate on its side.
  • C. Uranus
    Uranus is the primordial Greek sky god and father of the Titans, representing the personified heavens in ancient Greek mythology.
  • D. Uranie
    Uranie is a witty and sharp-tongued noblewoman in Molière’s comedy *La Critique de l’École des femmes*, who participates in the salon-style debate over the play *L’École des femmes* and its portrayal of marriage and women.
  • E. Uranie
    Uranie is a character from the medieval French chivalric romance cycle "Amadis," typically depicted within the courtly and fantastical adventures surrounding the knight Amadis de Gaula.
  • 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b06ec4208190b9ed3484afd85852 completed April 22, 2026, 11:26 a.m.
Created at: April 16, 2026, 5:09 p.m.