Triple
T1589588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxford University Cricket Club |
E34147
|
entity |
| Predicate | hasFixtureStatus |
P15010
|
FINISHED |
| Object | first-class |
—
|
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: first-class | Statement: [Oxford University Cricket Club, hasFixtureStatus, first-class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFixtureStatus Context triple: [Oxford University Cricket Club, hasFixtureStatus, first-class]
-
A.
testStatus
Indicates the current outcome or state of a test, such as whether it has passed, failed, or is still in progress.
-
B.
hasOccupancyStatus
Indicates the current usage or availability state of something, such as whether it is occupied, vacant, or otherwise in use.
-
C.
hasDiscoveryStatus
Indicates the current state or phase of discovery or identification associated with an entity.
-
D.
hasStatusIn
chosen
Indicates that an entity holds or is assigned a particular status within a specified context, scope, or system.
-
E.
hasStand
Indicates that an entity possesses, is equipped with, or is supported by a stand or base structure.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93aedd45c819085843ac843d640e8 |
completed | March 5, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69a907bdc19081908c84c5c0aa09e282 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.