Triple
T18569516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | baggy green |
E453839
|
entity |
| Predicate | notTypicallyWornDuring |
P132583
|
FINISHED |
| Object | One Day Internationals |
—
|
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: One Day Internationals | Statement: [baggy green, notTypicallyWornDuring, One Day Internationals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notTypicallyWornDuring Context triple: [baggy green, notTypicallyWornDuring, One Day Internationals]
-
A.
notWornWith
Indicates that one item is not worn at the same time as another item, implying mutual exclusivity in being worn together.
-
B.
notWornBy
Indicates that a particular item or object is explicitly not being worn or used as clothing/accessory by a specified entity.
-
C.
alsoWornIn
Indicates that an item of clothing or accessory is additionally worn in another context, location, or time beyond the primary one mentioned.
-
D.
wornAt
Indicates that an item is being worn on a specific part of the body or at a particular time or event.
-
E.
wornOver
Indicates that one item of clothing or accessory is positioned on top of and covering another item when worn.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53b0075a08190a5d590d36089ca1e |
completed | April 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69e478c16e0c8190b03966aa23c395a6 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:43 a.m.