Triple
T35102561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wong Tai Sin station |
E1013058
|
entity |
| Predicate | adjacentStationOnKwunTongLine |
P190706
|
FINISHED |
| Object | Lok Fu 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: Lok Fu station | Statement: [Wong Tai Sin station, adjacentStationOnKwunTongLine, Lok Fu station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnKwunTongLine Context triple: [Wong Tai Sin station, adjacentStationOnKwunTongLine, Lok Fu station]
-
A.
adjacentStationOnTungChungLine
Indicates that two stations are directly next to each other on the Tung Chung Line, with no other station in between.
-
B.
adjacentStationOnWenhuLine
Indicates that one station is directly next to another station along the Wenhu metro line, with no other stations in between.
-
C.
adjacentStationOnBatongLine
Indicates that two stations are directly next to each other on the Batong Line, with no other station in between.
-
D.
adjacentStationOnTanimachiLine
Indicates that one station is directly next to another station along the Tanimachi subway line.
-
E.
adjacentStationOnDenEnToshiLine
Indicates that one station is directly next to another station along the Den-en-toshi railway 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_69f76dd556248190808b4c4f43debebb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcce2cf9188190b3f65b362203a6a3 |
completed | May 7, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fccdd2d84481909a7ce22407def9c7 |
completed | May 7, 2026, 5:37 p.m. |
Created at: May 3, 2026, 4:01 p.m.