Triple
T34720092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mei Foo Sun Chuen |
E1000889
|
entity |
| Predicate | MTRLineConnection |
P18378
|
FINISHED |
| Object | Tsuen Wan line |
—
|
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: Tsuen Wan line | Statement: [Mei Foo Sun Chuen, MTRLineConnection, Tsuen Wan line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MTRLineConnection Context triple: [Mei Foo Sun Chuen, MTRLineConnection, Tsuen Wan line]
-
A.
cityRailNetwork
Indicates that there exists a rail-based public transportation system operating within and serving the specified city.
-
B.
cityRailTerminalPeer
Indicates that two rail terminals are considered peers within the same city rail network, typically serving similar roles or being functionally equivalent.
-
C.
railwayConnectsTo
Indicates that one railway line, track, or network is directly linked or joined to another, allowing trains to move between them.
-
D.
subwayLine
chosen
Indicates that there is a subway line connection or service relationship between the referenced entities.
-
E.
railConnectionPurpose
Indicates the intended function or goal of a particular rail connection between locations or networks.
- 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.