Triple
T37169602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silom area, Bang Rak |
E920873
|
entity |
| Predicate | MRTStationServing |
P28508
|
FINISHED |
| Object | Si Lom Station |
—
|
NE NERFINISHED |
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: Si Lom Station | Statement: [Silom area, Bang Rak, MRTStationServing, Si Lom Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MRTStationServing Context triple: [Silom area, Bang Rak, MRTStationServing, Si Lom Station]
-
A.
subwayStation
chosen
Indicates that one entity is a subway station associated with, located in, or serving the other entity.
-
B.
subwayLine
Indicates that there is a subway line connection or service relationship between the referenced entities.
-
C.
subwayServices
Indicates that one entity provides or operates subway transportation services for another entity or area.
-
D.
urbanRailway
Indicates a relationship where a railway system operates within or primarily serves an urban or metropolitan area.
-
E.
urbanRailHubFor
Indicates that a location functions as a central node or interchange point within an urban rail network for a given area or set of lines.
- F. None of above.
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_69f76ea16f288190b445aa1604d996f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.