Triple
T26816651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunny Bay station |
E675137
|
entity |
| Predicate | adjacentStationOnTungChungLine |
P170636
|
FINISHED |
| Object | Tsing Yi 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: Tsing Yi station | Statement: [Sunny Bay station, adjacentStationOnTungChungLine, Tsing Yi station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnTungChungLine Context triple: [Sunny Bay station, adjacentStationOnTungChungLine, Tsing Yi station]
-
A.
adjacentStationOnWenhuLine
Indicates that one station is directly next to another station along the Wenhu metro line, with no other stations in between.
-
B.
adjacentStationOnBatongLine
Indicates that two stations are directly next to each other on the Batong Line, with no other station in between.
-
C.
adjacentStationOnRobinHoodLine
Indicates that one station is directly next to another station along the Robin Hood railway line.
-
D.
adjacentStationOnTanimachiLine
Indicates that one station is directly next to another station along the Tanimachi subway line.
-
E.
adjacentStationOnChuoLine
Indicates that two stations are directly next to each other as consecutive stops on the Chuo railway line.
- 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_69eee9b6b28481909332f83eb17e5170 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f693ffa7908190aa4c451b16df9be6 |
completed | May 3, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f6938244648190a553b532387b812c |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 27, 2026, 4:52 a.m.