Triple
T18233605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Run for the Carnations |
E436609
|
entity |
| Predicate | hasPurse |
P128453
|
FINISHED |
| Object | large purse for Grade I level |
—
|
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: large purse for Grade I level | Statement: [The Run for the Carnations, hasPurse, large purse for Grade I level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPurse Context triple: [The Run for the Carnations, hasPurse, large purse for Grade I level]
-
A.
approximatePurse
Indicates that one entity estimates or comes close to determining the value, amount, or contents of another entity’s purse or collection of resources.
-
B.
hasPocketType
Indicates the specific style or configuration of pocket associated with an item or garment.
-
C.
purse
Indicates attempting to influence or persuade someone to adopt a particular course of action, belief, or decision.
-
D.
hasCoins
Indicates that an entity possesses or holds one or more coins.
-
E.
totalPurse
chosen
Indicates the total amount of prize money or winnings available in a given competitive event or context.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b512a88190aa493b0793ab28b3 |
completed | April 19, 2026, 3:28 p.m. |
| PD | Predicate disambiguation | batch_69e4332336cc8190808b9c70c888ba65 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:33 a.m.