Triple
T5093619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winner's Circle |
E114813
|
entity |
| Predicate | hasTimer |
P60696
|
FINISHED |
| Object | 60 seconds |
—
|
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: 60 seconds | Statement: [Winner's Circle, hasTimer, 60 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimer Context triple: [Winner's Circle, hasTimer, 60 seconds]
-
A.
hasTimeStart
Indicates that an event, process, or state begins at a specific point in time.
-
B.
hasClock
Indicates that one entity possesses, contains, or is equipped with a clock.
-
C.
hasTimeouts
Indicates that an entity is associated with one or more timeout settings or behaviors that limit the duration of an operation or state.
-
D.
hasTimeOfAction
Indicates that an action is associated with a specific point or interval in time when it occurs.
-
E.
hasCountingPeriod
Indicates that there is a defined time span or interval over which occurrences, quantities, or measurements related to an entity are counted or aggregated.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75454920819086e09d6055087e40 |
completed | March 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69bd715c0a448190afc837c6c31dc6ab |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd72b8d7a88190ad53fae64f17e22c |
completed | March 20, 2026, 4:15 p.m. |
Created at: March 20, 2026, 1:40 p.m.