Triple

T6969655
Position Surface form Disambiguated ID Type / Status
Subject SIIMA Awards E161569 entity
Predicate industry P71 FINISHED
Object Sandalwood E51365 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: Sandalwood | Statement: [SIIMA Awards, industry, Sandalwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandalwood
Context triple: [SIIMA Awards, industry, Sandalwood]
  • A. Oud
    Oud is a Dutch surname most notably associated with figures such as architect Jacobus Oud and politician Pieter Oud.
  • B. Oud Metha
    Oud Metha is a central residential and commercial district in Dubai known for its schools, cultural clubs, and easy access to major city landmarks.
  • C. Lignum vitae
    Lignum vitae is a dense, extremely hard tropical hardwood tree native to the Caribbean, renowned for its durable wood and medicinal resin.
  • D. Camphor tree chosen
    The camphor tree is a large, long-lived evergreen tree native to East Asia, known for its aromatic wood and leaves from which camphor oil is traditionally extracted.
  • E. Red Sanders
    Red Sanders was a prominent American college football coach best known for leading the UCLA Bruins to national prominence in the 1940s and 1950s.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1649288190a52c7dab57b3c7dc completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7619ebab88190916e3d68068ed71d completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:30 p.m.