Triple
T24630972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Association football |
E609672
|
entity |
| Predicate | primaryScoringUnit |
P44237
|
FINISHED |
| Object | goal |
—
|
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: goal | Statement: [Association football, primaryScoringUnit, goal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryScoringUnit Context triple: [Association football, primaryScoringUnit, goal]
-
A.
primaryScoringRange
Indicates the main numerical interval or category within which an entity’s score or rating is evaluated or classified.
-
B.
primaryScoringStyle
chosen
Indicates the main method or approach by which an entity achieves or generates scores or points.
-
C.
scoringUnit
Indicates that one entity functions as a unit or component responsible for scoring or assigning scores to another entity.
-
D.
primaryUnit
Indicates that one entity serves as the main or principal unit associated with another entity, typically among multiple possible units.
-
E.
primaryUnionUnit
Indicates that an entity serves as the main or principal unit within a union or combined structure.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.