Triple
T441913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFL Draft |
E10130
|
entity |
| Predicate | competitiveBalanceGoal |
P10059
|
FINISHED |
| Object | to help weaker teams improve more quickly |
—
|
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 help weaker teams improve more quickly | Statement: [NFL Draft, competitiveBalanceGoal, to help weaker teams improve more quickly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitiveBalanceGoal Context triple: [NFL Draft, competitiveBalanceGoal, to help weaker teams improve more quickly]
-
A.
aimsToBalance
Indicates an intention or effort by one entity to bring multiple elements, forces, or conditions into a state of equilibrium.
-
B.
equalizingGoalBy
chosen
Indicates that one entity has the objective of reducing differences or disparities between itself and another entity.
-
C.
competitionLevel
Indicates the degree or intensity of competitive pressure or rivalry present in a given context or interaction.
-
D.
legacyGoal
Indicates that an entity has a long-term, enduring objective or impact it aims to leave behind beyond its immediate actions or existence.
-
E.
primaryCompetition
Indicates that one entity is the main or most significant competitor of another within a given market, domain, 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef42b4008190abed9d79926c7022 |
completed | Feb. 28, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69a2edde2b9c8190bd20b582eb4c5065 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.