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.