Triple

T19746111
Position Surface form Disambiguated ID Type / Status
Subject TrawsCymru E474254 entity
Predicate hasService P182 FINISHED
Object T10
T10 is a TrawsCymru long-distance bus route that provides interurban public transport service in Wales.
E1393211 NE FINISHED

How this triple was built (4 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: T10 | Statement: [TrawsCymru, hasService, T10]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T10
Context triple: [TrawsCymru, hasService, T10]
  • A. T10
    T10 is a technical committee under INCITS responsible for developing standards for SCSI (Small Computer System Interface) and related storage interfaces.
  • B. D10
    D10 is the station code for Deanwood, a stop on Washington, D.C.’s Metrorail system.
  • C. TEN
    TEN is the National Rail station code for Tenby railway station in Pembrokeshire, Wales.
  • D. T12
    T12 is a tram-train line in the Île-de-France region that connects suburban areas using both tramway and railway infrastructure.
  • E. T11
    T11 is the FAA location identifier assigned to Yap International Airport in the Federated States of Micronesia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: T10
Triple: [TrawsCymru, hasService, T10]
Generated description
T10 is a TrawsCymru long-distance bus route that provides interurban public transport service in Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: T10
Target entity description: T10 is a TrawsCymru long-distance bus route that provides interurban public transport service in Wales.
  • A. T10
    T10 is a technical committee under INCITS responsible for developing standards for SCSI (Small Computer System Interface) and related storage interfaces.
  • B. D10
    D10 is the station code for Deanwood, a stop on Washington, D.C.’s Metrorail system.
  • C. TEN
    TEN is the National Rail station code for Tenby railway station in Pembrokeshire, Wales.
  • D. T12
    T12 is a tram-train line in the Île-de-France region that connects suburban areas using both tramway and railway infrastructure.
  • E. T11
    T11 is the FAA location identifier assigned to Yap International Airport in the Federated States of Micronesia.
  • F. None of above. chosen

Provenance (5 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529387ac819094e4d66d630e8b98 completed April 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b501e7348190bf2b14c98cd7cdb0 completed May 16, 2026, 12:06 a.m.
NEDg Description generation batch_6a07b60822688190b840b21173c45054 completed May 16, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_6a07b6c9fc8c8190825953f50935833e completed May 16, 2026, 12:14 a.m.
Created at: April 10, 2026, 1:47 p.m.