Triple

T14251016
Position Surface form Disambiguated ID Type / Status
Subject Sheung Shui E353261 entity
Predicate operator P179 FINISHED
Object MTR E304050 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: MTR | Statement: [Sheung Shui, operator, MTR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTR
Context triple: [Sheung Shui, operator, MTR]
  • A. MTR
    MTR is the station code for Matara railway station, a key terminus on Sri Lanka’s coastal railway line.
  • B. MTR urban lines chosen
    MTR urban lines are a network of rapid transit railway services forming the core of Hong Kong’s mass transit system, particularly serving dense urban areas such as Kowloon.
  • C. MTR Nordic
    MTR Nordic is a Swedish public transport company that operates and manages rail and metro services, including the Stockholm metro, as part of the global MTR Corporation group.
  • D. MTR Tuen Ma line
    The MTR Tuen Ma line is a major heavy-rail metro line in Hong Kong that runs across the New Territories and Kowloon, connecting eastern and western districts through key residential and commercial areas.
  • E. MTR Light Rail
    MTR Light Rail is a local light rail transit system in Hong Kong’s northwestern New Territories, providing frequent, short-distance services that connect residential areas with major MTR heavy rail lines.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6296f9d0819086f62f525d07eb12 completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325815d48190b070866f41986847 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:08 a.m.