Triple

T15266519
Position Surface form Disambiguated ID Type / Status
Subject Tai Po District E364914 entity
Predicate contains P35 FINISHED
Object Tai Po Kau E1090894 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: Tai Po Kau | Statement: [Tai Po District, contains, Tai Po Kau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tai Po Kau
Context triple: [Tai Po District, contains, Tai Po Kau]
  • A. Tai Po Kau chosen
    Tai Po Kau is a rural area in Hong Kong’s New Territories known for its country park, forested hills, and nature trails.
  • B. Ko Rang Ka Chiu
    Ko Rang Ka Chiu is a small island in Thailand’s Gulf of Thailand, known as part of the Chumphon Archipelago and valued for its marine life and coastal scenery.
  • C. Sha Tau Kok
    Sha Tau Kok is a frontier town in northeastern Hong Kong known for its restricted border area status and proximity to the boundary with mainland China.
  • D. Tai Khuen
    Tai Khuen is a Tai ethnic group and language primarily associated with the Kengtung region of eastern Myanmar.
  • E. Kau Sai Chau
    Kau Sai Chau is an island in Hong Kong best known for its public golf course complex and natural coastal scenery.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00851c5b88190a296b6a105d3ee30 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee600340c8190a1888d35c2c1bc86 completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.