Triple
T2772212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BTS Skytrain |
E61481
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | รถไฟฟ้าบีทีเอส |
E61481
|
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: รถไฟฟ้าบีทีเอส | Statement: [BTS Skytrain, nativeName, รถไฟฟ้าบีทีเอส]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: รถไฟฟ้าบีทีเอส Context triple: [BTS Skytrain, nativeName, รถไฟฟ้าบีทีเอส]
-
A.
BTS Skytrain
chosen
The BTS Skytrain is an elevated rapid transit system that serves as one of Bangkok’s primary urban rail networks, helping alleviate traffic congestion and connect key commercial and residential areas across the city.
-
B.
MRT subway
The MRT subway in Bangkok is a major rapid transit system that provides fast, air-conditioned underground and elevated rail services across key areas of the city.
-
C.
SkyTrain
SkyTrain is an automated, driverless rapid transit system serving the Metro Vancouver region in British Columbia, Canada.
-
D.
Taipei Metro
Taipei Metro is the rapid transit system serving the Taipei metropolitan area, known for its extensive network, punctual service, and cleanliness.
-
E.
KTM Komuter
KTM Komuter is a Malaysian commuter rail service operating in the Greater Kuala Lumpur area and surrounding regions, providing frequent, affordable suburban train connections.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd6b9cc48190bd9f7d8d33fe1ec1 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc0528304819081ad54a945acd77a |
completed | March 10, 2026, 6:55 a.m. |
Created at: March 6, 2026, 9:57 p.m.