Triple
T12314646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oyster card |
E293568
|
entity |
| Predicate | hasDeposit |
P103379
|
FINISHED |
| Object | refundable card fee (on some card types) |
—
|
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: refundable card fee (on some card types) | Statement: [Oyster card, hasDeposit, refundable card fee (on some card types)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDeposit Context triple: [Oyster card, hasDeposit, refundable card fee (on some card types)]
-
A.
hasDeposits
Indicates that an entity holds or maintains deposited funds or resources in another entity, such as an account or institution.
-
B.
hasDepositType
chosen
Indicates that an entity is associated with or classified by a particular type of deposit.
-
C.
hasMajorDepositIn
Indicates that an entity possesses a significant or primary deposit, typically of a resource or asset, located in a specified place.
-
D.
deposited
Indicates that an entity has placed or put something into another entity, typically transferring it into a container, location, or account.
-
E.
hasBank
Indicates that one entity possesses, is associated with, or is served by a particular bank (such as a financial institution or river bank).
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.