Triple
T34913098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Edward station |
E1006929
|
entity |
| Predicate | hasColorOnLineDiagram |
P34402
|
FINISHED |
| Object | red (Tsuen Wan line) |
—
|
LITERAL FINISHED |
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: red (Tsuen Wan line) | Statement: [Prince Edward station, hasColorOnLineDiagram, red (Tsuen Wan line)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorOnLineDiagram Context triple: [Prince Edward station, hasColorOnLineDiagram, red (Tsuen Wan line)]
-
A.
isColorCodedLine
Indicates that a line is represented or distinguished using specific colors according to a coding scheme.
-
B.
networkColorOfLine
chosen
Indicates the color assigned to a specific line within a network (such as a transit or communication network).
-
C.
hasColorSeriesConcept
Indicates that an entity is associated with a conceptual grouping or series defined by a particular color or set of colors.
-
D.
usesLineColour
Indicates that one entity employs or is associated with the line color defined or provided by another entity.
-
E.
hasLineGraph
Indicates that one entity is represented or associated with a line graph depicting its values or relationships.
- 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_69f76dc2b6b0819095a61debbd405269 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.