Triple
T38353729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hang Hau station |
E1046265
|
entity |
| Predicate | hasStationColour |
P202767
|
FINISHED |
| Object | purple |
—
|
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: purple | Statement: [Hang Hau station, hasStationColour, purple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStationColour Context triple: [Hang Hau station, hasStationColour, purple]
-
A.
hasStationStyle
Indicates that one entity (typically a station) possesses or is characterized by a particular architectural or design style.
-
B.
hoodColor
Indicates the color attribute specifically of an entity’s hood (e.g., the hood of a garment or vehicle).
-
C.
hasStationIcon
Indicates that an entity is associated with a specific icon used to visually represent a station.
-
D.
hasPylonColor
Indicates that an entity (such as a pylon or structure) possesses a specific color as one of its attributes.
-
E.
hasCapColor
Indicates that an entity possesses a cap whose color is specified by the related value.
- 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_69f76e3a94fc81908edc175e8d259e80 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a00b6199c348190b1e90375f737d026 |
completed | May 10, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_6a00b5169a7881909a07167c4188731f |
completed | May 10, 2026, 4:40 p.m. |
| PDg | Predicate description generation | batch_6a00b618cb10819095ccef12d8e303c5 |
completed | May 10, 2026, 4:45 p.m. |
Created at: May 3, 2026, 4:31 p.m.