Triple
T3744205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA game |
E79772
|
entity |
| Predicate | periodStructure |
P25625
|
FINISHED |
| Object | 4 quarters |
—
|
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: 4 quarters | Statement: [NBA game, periodStructure, 4 quarters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodStructure Context triple: [NBA game, periodStructure, 4 quarters]
-
A.
periodizedAs
Indicates that something has been divided or organized into distinct time periods according to a particular periodization scheme.
-
B.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
C.
mealPeriod
Indicates the time-of-day category (such as breakfast, lunch, or dinner) during which a meal or food-related event occurs.
-
D.
timeStructure
chosen
Indicates that one entity defines, constrains, or organizes the temporal framework or schedule within which another entity exists or operates.
-
E.
workPeriod
Indicates the span of time during which an entity is engaged in a particular work or employment activity.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb58c9048190a055d1f4a7e6b699 |
completed | March 8, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69adc048f28c819092bed16a95a3cac1 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.