Triple

T14169203
Position Surface form Disambiguated ID Type / Status
Subject Woolner E351159 entity
Predicate territoryElectorate P17209 FINISHED
Object Fong Lim E351831 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: Fong Lim | Statement: [Woolner, territoryElectorate, Fong Lim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fong Lim
Context triple: [Woolner, territoryElectorate, Fong Lim]
  • A. Fong Lim chosen
    Fong Lim is an electoral division in the Northern Territory of Australia, represented in the Northern Territory Legislative Assembly.
  • B. Giong Lim
    Giong Lim is a musician and composer known for creating music featured in the film "Platform."
  • C. Wong Mew Choo
    Wong Mew Choo is a former Malaysian badminton player best known as a top women’s singles shuttler in the 2000s, highlighted by her 2007 China Open title and world top-10 ranking.
  • D. Soh Wooi Yik
    Soh Wooi Yik is a Malaysian professional badminton player, best known as a top men's doubles specialist on the international circuit.
  • E. Nam Cheong
    Nam Cheong is a residential and transport hub area in Sham Shui Po District, Kowloon, Hong Kong, known for its MTR station and proximity to Victoria Harbour.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b472288190b4a271daa54aa6cd completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd2804956c81909409fba998a87866 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1 a.m.