Triple
T34295937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongdan Station |
E880026
|
entity |
| Predicate | hasPaidAreaTransfer |
P39868
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Dongdan Station, hasPaidAreaTransfer, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPaidAreaTransfer Context triple: [Dongdan Station, hasPaidAreaTransfer, yes]
-
A.
hasUnpaidAreaTransfer
Indicates that an area transfer between entities has occurred for which the corresponding payment has not yet been made.
-
B.
hasFarePaidArea
chosen
Indicates that an entity includes or is associated with a zone where access is restricted to users who have paid a fare.
-
C.
hasPaidTransfer
Indicates that a transfer of something (such as money, ownership, or rights) has been completed through a payment.
-
D.
hasTransfer
Indicates a relationship where something is moved or conveyed from one entity or location to another.
-
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_69f349b79f6c81909cb468c92c39c74d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff79e7206c8190a809b5f2a6261378 |
completed | May 9, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69ff798356b881908645074fb3a96517 |
completed | May 9, 2026, 6:14 p.m. |
Created at: May 1, 2026, 1:57 a.m.