Triple
T24630971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Association football |
E609672
|
entity |
| Predicate | halftimeInterval |
P59168
|
FINISHED |
| Object | 15 minutes (typical) |
—
|
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: 15 minutes (typical) | Statement: [Association football, halftimeInterval, 15 minutes (typical)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: halftimeInterval Context triple: [Association football, halftimeInterval, 15 minutes (typical)]
-
A.
halfTimeBreakDuration
chosen
Indicates the length of time allocated for the break between the two halves of an event or activity.
-
B.
hasHalftime
Indicates that an event, typically a game or performance, includes a designated halftime interval between its main segments.
-
C.
halftimeScore
Indicates the score or result of a game or match at the halfway point (halftime).
-
D.
halftimeProducer
Indicates that one entity is the producer responsible for creating or organizing the halftime segment of an event, such as a sports game or show.
-
E.
extraTimeHalfLength
Indicates the duration or length of an extra-time half period within a timed event or match.
- 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.