Triple

T2183143
Position Surface form Disambiguated ID Type / Status
Subject Nora E49090 entity
Predicate hasShortForm P43 FINISHED
Object Noor E122857 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: Noor | Statement: [Nora, hasShortForm, Noor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noor
Context triple: [Nora, hasShortForm, Noor]
  • A. Noor chosen
    Noor is the American-born widow of King Hussein who served as Queen consort of Jordan and became known for her humanitarian and peace-building work.
  • B. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • C. Ila
    Ila is a central fictional character in the 2014 biblical epic film "Noah," portrayed as Noah's adopted daughter and Shem's wife, whose personal journey and relationships drive much of the movie's emotional narrative.
  • D. Zarqa River
    The Zarqa River is a major river in Jordan that flows through the country’s highlands and urban areas before joining the Jordan River.
  • E. Dila
    Dila is the commonly used short name for FC Dila Gori, a professional football club based in Gori, Georgia.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf0d551881909d7f907378e1b2b7 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da963308190bcd0918b8317b3f6 completed March 9, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:45 p.m.