Triple
T35415488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kwu Tung |
E1023628
|
entity |
| Predicate | servedByFutureStation |
P87398
|
FINISHED |
| Object | Kwu Tung 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: Kwu Tung station | Statement: [Kwu Tung, servedByFutureStation, Kwu Tung station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedByFutureStation Context triple: [Kwu Tung, servedByFutureStation, Kwu Tung station]
-
A.
futureServes
chosen
Indicates that, at a future time, one entity will perform a service or act in a serving role for another entity.
-
B.
futureTerminusStation
Indicates that a station is designated to become a terminus (end point) of a transit line or route at a specified future time.
-
C.
servesAsThroughStationFor
Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
-
D.
servesStationType
Indicates that an entity provides service to, or operates in connection with, a particular type or category of station.
-
E.
presentlyServedBy
Indicates that an entity is currently being provided with service or attended to by another entity.
- 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_69f76df54bac8190bd0d3b0eb35cda5f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a0004582bb08190b8d0b88251e8d333 |
completed | May 10, 2026, 4:06 a.m. |
| PD | Predicate disambiguation | batch_6a0003e3e5588190933beea5fb28f150 |
completed | May 10, 2026, 4:04 a.m. |
Created at: May 3, 2026, 4:03 p.m.