Triple
T12500434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silom Line |
E298804
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Pho Nimit station
Pho Nimit station is an elevated BTS Skytrain station in Bangkok, Thailand, serving the Silom Line in the Thonburi area.
|
E997077
|
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: Pho Nimit station | Statement: [Silom Line, hasStation, Pho Nimit station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pho Nimit station Context triple: [Silom Line, hasStation, Pho Nimit station]
-
A.
Phaya Thai station
Phaya Thai station is a major transit hub in Bangkok that connects the Airport Rail Link with the city’s urban rail network.
-
B.
Sala Daeng Station
Sala Daeng Station is a major elevated BTS Skytrain station in central Bangkok, serving as a key transit hub near the Silom business and entertainment district.
-
C.
Nopo Metro Station
Nopo Metro Station is a subway station in Busan, South Korea, serving as a key transit hub for the Nopo-dong area.
-
D.
Sucat station
Sucat station is a commuter rail station in Muntinlupa, Metro Manila, serving passengers on the Philippine National Railways network.
-
E.
Hua Mak station
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.
- 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: Pho Nimit station Triple: [Silom Line, hasStation, Pho Nimit station]
Generated description
Pho Nimit station is an elevated BTS Skytrain station in Bangkok, Thailand, serving the Silom Line in the Thonburi area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pho Nimit station Target entity description: Pho Nimit station is an elevated BTS Skytrain station in Bangkok, Thailand, serving the Silom Line in the Thonburi area.
-
A.
Phaya Thai station
Phaya Thai station is a major transit hub in Bangkok that connects the Airport Rail Link with the city’s urban rail network.
-
B.
Sala Daeng Station
Sala Daeng Station is a major elevated BTS Skytrain station in central Bangkok, serving as a key transit hub near the Silom business and entertainment district.
-
C.
Nopo Metro Station
Nopo Metro Station is a subway station in Busan, South Korea, serving as a key transit hub for the Nopo-dong area.
-
D.
Sucat station
Sucat station is a commuter rail station in Muntinlupa, Metro Manila, serving passengers on the Philippine National Railways network.
-
E.
Hua Mak station
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.
- 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_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_69f6718ad25c8190b4d0d51d48c070dd |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f67285019c8190be831d3f72cf121f |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67323a724819092425cdb3a070b96 |
completed | May 2, 2026, 9:56 p.m. |
Created at: April 8, 2026, 9:57 p.m.