Triple
T12500388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suvarnabhumi Airport Rail Link |
E298803
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Hua Mak Station |
E297273
|
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: Hua Mak Station | Statement: [Suvarnabhumi Airport Rail Link, hasStation, Hua Mak Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hua Mak Station Context triple: [Suvarnabhumi Airport Rail Link, hasStation, Hua Mak Station]
-
A.
Hua Mak station
chosen
Hua Mak station is a stop on Bangkok’s Airport Rail Link rapid transit line, serving the Hua Mak area in the eastern part of the city.
-
B.
Ximen Station
Ximen Station is a major Taipei Metro interchange station in the Ximending shopping and entertainment district of Taipei, Taiwan.
-
C.
Sizihwan Station
Sizihwan Station is a metro station in Kaohsiung, Taiwan, serving the scenic Sizihwan and Hamasen waterfront area near National Sun Yat-sen University.
-
D.
Bang Wa Station
Bang Wa Station is a major Bangkok Mass Transit System (BTS) Skytrain terminal and interchange in western Bangkok, serving as a key transit hub connecting the city’s rail and bus networks.
-
E.
Guanyinsi station
Guanyinsi station is a metro stop on Beijing’s Daxing Airport Express line serving passengers traveling between the city and Beijing Daxing International Airport.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfbb2a48190a231b02cfa990565 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65570401c819084f9db2eff5fdf3e |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.