Triple

T6690212
Position Surface form Disambiguated ID Type / Status
Subject Chertsey railway station E152604 entity
Predicate hasRailcode P27071 FINISHED
Object CHT E611208 NE FINISHED

How this triple was built (3 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: CHT | Statement: [Chertsey railway station, hasRailcode, CHT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CHT
Context triple: [Chertsey railway station, hasRailcode, CHT]
  • A. CHT chosen
    CHT is the National Rail station code for Chertsey railway station in Surrey, England.
  • B. CH-TI
    CH-TI is the ISO 3166-2 code representing the Swiss canton of Ticino.
  • C. CHTR
    CHTR is the stock ticker symbol for Charter Communications, a major U.S. telecommunications and cable services provider.
  • D. CHU
    CHU (Christelijk-Historische Unie) was a Dutch Protestant conservative political party that existed from the late 19th century until it merged into the Christian Democratic Appeal (CDA) in 1980.
  • E. CH
    CH is the post-nominal abbreviation for Companion of Honour, a prestigious British award recognizing outstanding achievements in fields such as the arts, literature, music, science, politics, industry, or religion.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRailcode
Context triple: [Chertsey railway station, hasRailcode, CHT]
  • A. railroadCodeFor
    Indicates that a specific railroad code is assigned to or used to identify a particular railroad entity.
  • B. railcode chosen
    Indicates that an entity is associated with a specific railway code used for identification or classification within a rail system.
  • C. hasRailRoute
    Indicates that there exists a rail-based transportation route or connection between the related entities.
  • D. hasRailwayLineNumber
    Indicates the specific identification number assigned to a railway line associated with an entity.
  • E. hasRailConfiguration
    Indicates that an entity is associated with, or characterized by, a particular arrangement or setup of rails.
  • F. None of above.

Provenance (4 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6cd0fa5188190a23281cb09d98139 completed March 27, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7007d2cb881909cebe2ab0d55ce3d completed March 27, 2026, 10:11 p.m.
PD Predicate disambiguation batch_69c6ad0d3c1081908dadff7a6a054123 completed March 27, 2026, 4:15 p.m.
Created at: March 27, 2026, 2:04 p.m.