Triple
T27994708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Arena League |
E706977
|
entity |
| Predicate | hasScoringCharacteristic |
P115017
|
FINISHED |
| Object | higher average scores than outdoor football |
—
|
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: higher average scores than outdoor football | Statement: [National Arena League, hasScoringCharacteristic, higher average scores than outdoor football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScoringCharacteristic Context triple: [National Arena League, hasScoringCharacteristic, higher average scores than outdoor football]
-
A.
hasScoreCharacteristic
chosen
Indicates that one entity possesses or is associated with a particular scoring-related characteristic or property.
-
B.
hasScoringUnit
Indicates that one entity possesses or is associated with a unit used for scoring, measurement, or point allocation in a given context.
-
C.
hasScorer
Indicates that one entity serves as the scorer (e.g., the one who scores points, goals, or evaluations) in relation to another entity.
-
D.
hasScoreType
Indicates that an entity is associated with a particular type or category of score.
-
E.
isScoreForCharacter
Indicates that a given score value is associated with, or belongs to, a particular character.
- 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_69ef96b980d88190a753b2f9a978595a |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 27, 2026, 7:52 p.m.