Triple

T14840482
Position Surface form Disambiguated ID Type / Status
Subject Yuen Long E348948 entity
Predicate hasTransport P1298 FINISHED
Object Light Rail Transit E1077957 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: Light Rail Transit | Statement: [Yuen Long, hasTransport, Light Rail Transit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Light Rail Transit
Context triple: [Yuen Long, hasTransport, Light Rail Transit]
  • A. Light Rail chosen
    Light Rail is a local, electrically powered transit system in Hong Kong’s northwestern New Territories that provides frequent, short-distance passenger services and connections to the broader MTR network.
  • B. Link light rail
    Link light rail is a regional light rail transit system serving the Seattle metropolitan area in Washington State, operated by Sound Transit.
  • C. METRORail light rail
    METRORail light rail is Houston's urban light rail transit system operated by METRO, connecting key destinations throughout the city’s central area.
  • D. Light RailLink
    Light RailLink is a light rail transit system in the Baltimore metropolitan area that provides north–south rail service through the city and its suburbs.
  • E. METRO light rail
    METRO light rail is a rapid transit system serving the Minneapolis–Saint Paul metropolitan area with multiple color-designated lines connecting key urban, suburban, and airport destinations.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28e40f08190b309d8ac6404d2fc completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a9eb9481908ca509f484007cf6 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:53 a.m.