Triple

T12441144
Position Surface form Disambiguated ID Type / Status
Subject State Railway of Thailand E297272 entity
Predicate shortName P43 FINISHED
Object SRT
SRT is the national state-owned railway operator of Thailand, responsible for the country’s intercity and commuter rail services.
E984332 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: SRT | Statement: [State Railway of Thailand, shortName, SRT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SRT
Context triple: [State Railway of Thailand, shortName, SRT]
  • A. SRT
    SRT was the former name of Toronto’s Line 3 Scarborough, an elevated light rapid transit line that operated in the city’s eastern suburbs.
  • B. SRT
    SRT is a high-performance trim level of Jeep vehicles, featuring upgraded powertrains, sport-tuned components, and enhanced styling.
  • C. SRT
    SRT is a South Korean high-speed rail service that operates on major routes including those connecting through Daejeon.
  • D. SRTMU
    SRTMU is a public state university in Nanded, Maharashtra, India, named after Swami Ramanand Teerth and serving the Marathwada region with various undergraduate and postgraduate programs.
  • E. RTM
    RTM is the IATA airport code for Rotterdam The Hague Airport, a regional international airport serving the Rotterdam–The Hague metropolitan area in the Netherlands.
  • 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: SRT
Triple: [State Railway of Thailand, shortName, SRT]
Generated description
SRT is the national state-owned railway operator of Thailand, responsible for the country’s intercity and commuter rail services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SRT
Target entity description: SRT is the national state-owned railway operator of Thailand, responsible for the country’s intercity and commuter rail services.
  • A. SRT
    SRT was the former name of Toronto’s Line 3 Scarborough, an elevated light rapid transit line that operated in the city’s eastern suburbs.
  • B. SRT
    SRT is a South Korean high-speed rail service that operates on major routes including those connecting through Daejeon.
  • C. SRT
    SRT is a high-performance trim level of Jeep vehicles, featuring upgraded powertrains, sport-tuned components, and enhanced styling.
  • D. SRTMU
    SRTMU is a public state university in Nanded, Maharashtra, India, named after Swami Ramanand Teerth and serving the Marathwada region with various undergraduate and postgraduate programs.
  • E. RTM
    RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8ecb6c8190a19cbf9de31cabbd completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f0ea1e48190a11cf94797290156 completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f64010a1348190afaf7b95b8f146b5 completed May 2, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69f640c33d948190ad8f9885f90786d7 completed May 2, 2026, 6:21 p.m.
Created at: April 8, 2026, 9:55 p.m.