Triple

T13265741
Position Surface form Disambiguated ID Type / Status
Subject Yau Ma Tei E315917 entity
Predicate adjacentTo P224 FINISHED
Object King's Park E1001626 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: King's Park | Statement: [Yau Ma Tei, adjacentTo, King's Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King's Park
Context triple: [Yau Ma Tei, adjacentTo, King's Park]
  • A. King’s Park chosen
    King’s Park is an urban area in Hong Kong known for its residential neighborhoods, recreational facilities, and proximity to the bustling districts of Kowloon.
  • B. King George's Park
    King George's Park is a large public green space in the London Borough of Wandsworth featuring sports facilities, play areas, and walking paths.
  • C. Bute Park
    Bute Park is a large public park and arboretum in central Cardiff, Wales, known for its extensive green spaces, riverside walks, and historic landscape.
  • D. Barlow Park
    Barlow Park is a public recreational park located in the city of Ripon in central Wisconsin.
  • E. George Green Park
    George Green Park is a public recreational park located in Anoka, Minnesota, offering outdoor green space and amenities for community use.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901e44bc8190966f87ae219d6bf4 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4ad79c8190b1304942dc48c0ff completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:25 p.m.