Triple
T35545531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krung Thon Buri station |
E1027201
|
entity |
| Predicate | adjacentStationOnSilomLine |
P191839
|
FINISHED |
| Object | Saphan Taksin 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: Saphan Taksin station | Statement: [Krung Thon Buri station, adjacentStationOnSilomLine, Saphan Taksin station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnSilomLine Context triple: [Krung Thon Buri station, adjacentStationOnSilomLine, Saphan Taksin station]
-
A.
adjacentStationOnBatongLine
Indicates that two stations are directly next to each other on the Batong Line, with no other station in between.
-
B.
adjacentStationOnNaritaLine
Indicates that one station is directly next to another station along the Narita railway line, with no other stations in between.
-
C.
adjacentStationOnTanimachiLine
Indicates that one station is directly next to another station along the Tanimachi subway line.
-
D.
adjacentStationOnSaikyoLine
Indicates that one station is directly next to another station along the Saikyo railway line, with no other stations in between.
-
E.
adjacentStationOnSilverLine
Indicates that one station is directly next to another station along the Silver Line, with no other stations in between.
- F. None of above. chosen
Provenance (4 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_69f76e008ba08190927acd8e5e0344c8 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
| PDg | Predicate description generation | batch_69fcec5e560481909cd710b88897e833 |
completed | May 7, 2026, 7:47 p.m. |
Created at: May 3, 2026, 4:04 p.m.