Triple
T16939193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Tumbler–Snapper |
E410905
|
entity |
| Predicate | TumblerShotsCount |
P125314
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Operation Tumbler–Snapper, TumblerShotsCount, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TumblerShotsCount Context triple: [Operation Tumbler–Snapper, TumblerShotsCount, 3]
-
A.
numberOfCups
Indicates the quantity of cups associated with a given entity or context.
-
B.
hasNumberOfDrops
Indicates the quantity or count of drops associated with an entity or event.
-
C.
numberOfBarrels
Indicates the quantity or count of barrels associated with a given entity or context.
-
D.
cupWonWith
Indicates that a particular cup or tournament victory was achieved using or in association with a specified entity (such as a team, player, or equipment).
-
E.
numberOfCapsules
Indicates the quantity or count of capsules associated with an entity or event.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf2c44288190a105761ae646989e |
completed | April 18, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e355722040819098830dabf207ecd6 |
completed | April 18, 2026, 9:57 a.m. |
Created at: April 10, 2026, 5:31 a.m.