Triple
T30843688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longitude Act |
E785577
|
entity |
| Predicate | typeOfReward |
P735
|
FINISHED |
| Object | monetary prize |
—
|
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: monetary prize | Statement: [Longitude Act, typeOfReward, monetary prize]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfReward Context triple: [Longitude Act, typeOfReward, monetary prize]
-
A.
offersRewardType
Indicates that an entity provides or promises a specific type or category of reward in connection with an action, event, or condition.
-
B.
prizeType
chosen
Indicates the specific category or kind of prize associated with an entity or event.
-
C.
monetaryReward
Indicates that one entity provides or promises a payment of money to another as compensation, incentive, or prize.
-
D.
grantedAsRewardFor
Indicates that something is given to an entity specifically as a reward for a particular action, achievement, or service.
-
E.
typeOfIncentive
Indicates the specific kind or category of incentive associated with an entity or action.
- 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_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff84202eb081908ae21a54a4414d68 |
completed | May 9, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69ff833065e4819098579129d4ee17d3 |
completed | May 9, 2026, 6:55 p.m. |
Created at: April 29, 2026, 8:46 p.m.