Triple
T36390868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premier Handicap |
E896322
|
entity |
| Predicate | goalOfHandicapper |
P72446
|
FINISHED |
| Object | to create a theoretically level playing field |
—
|
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: to create a theoretically level playing field | Statement: [Premier Handicap, goalOfHandicapper, to create a theoretically level playing field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalOfHandicapper Context triple: [Premier Handicap, goalOfHandicapper, to create a theoretically level playing field]
-
A.
wagerGoal
Indicates that an entity sets or specifies a target outcome or objective for a wager or bet.
-
B.
handicap
Indicates that one entity imposes or experiences a disadvantage, constraint, or limiting condition in relation to another entity or context.
-
C.
handicapOrConditions
Indicates that there are specific handicaps, constraints, or special conditions that apply to the related entities or their interaction.
-
D.
goalType
chosen
Indicates the specific category or nature of a goal associated with an entity or action.
-
E.
goalIn
Indicates that one entity’s objective, aim, or intended outcome is located within, directed toward, or achieved inside another entity 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_69f76e52e3108190becf70b090ae7bd6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.