Triple
T33757561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AsiaWorld–Expo station |
E865017
|
entity |
| Predicate | hasPaidAreaConnectionTo |
P65039
|
FINISHED |
| Object | Airport Express platforms |
—
|
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: Airport Express platforms | Statement: [AsiaWorld–Expo station, hasPaidAreaConnectionTo, Airport Express platforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPaidAreaConnectionTo Context triple: [AsiaWorld–Expo station, hasPaidAreaConnectionTo, Airport Express platforms]
-
A.
hasAreaConnections
Indicates that an entity is linked to one or more surrounding or related areas, typically representing spatial or regional connections between them.
-
B.
hasFarePaidArea
Indicates that an entity includes or is associated with a zone where access is restricted to users who have paid a fare.
-
C.
hasPaidLinkTo
Indicates that one entity includes a hyperlink to another entity in exchange for payment or other compensation.
-
D.
hasFareGateConnectionTo
chosen
Indicates that there is a direct passage or connection between two areas that is controlled or mediated by fare gates.
-
E.
hasUnpaidAreaConcourse
Indicates that an unpaid-access concourse area is associated with or present within a given facility or location.
- 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_69f3498d3b748190aa3c4006c1f32f38 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff5803c02c81908b63067119f5e684 |
completed | May 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ff576d8b308190b49a1e072a0ae661 |
completed | May 9, 2026, 3:49 p.m. |
Created at: May 1, 2026, 1:45 a.m.