Triple
T266570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA All-Star Game 2020 |
E5742
|
entity |
| Predicate | quarterLength |
P8917
|
FINISHED |
| Object | 12 minutes |
—
|
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: 12 minutes | Statement: [NBA All-Star Game 2020, quarterLength, 12 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quarterLength Context triple: [NBA All-Star Game 2020, quarterLength, 12 minutes]
-
A.
hasAverageMonthLength
Indicates that an entity is associated with a specified average length of a month, typically expressed in days.
-
B.
hasWeekLength
Indicates the duration of a week associated with an entity, typically expressed as a number of days.
-
C.
termLength
Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
-
D.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
E.
seasonStructure
Indicates how a season is organized or structured in terms of its component parts, phases, or format.
- F. None of above. chosen
Provenance (4 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25d90bab48190b3ef97a451653b7f |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b6f60b081908fc6467800a8849e |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c8ae480819094f6d1bb0a6d2eb2 |
completed | Feb. 28, 2026, 3:10 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.