Triple
T32880657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pride |
E841053
|
entity |
| Predicate | numberOfTimePeriods |
P86088
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [The Pride, numberOfTimePeriods, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimePeriods Context triple: [The Pride, numberOfTimePeriods, 2]
-
A.
numberOfPeriods
chosen
Indicates the count of distinct time intervals or periods associated with an entity or event.
-
B.
numberOfFieldPeriods
Indicates the total count of distinct field periods associated with or occurring within a given context or entity.
-
C.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
D.
timePeriodInSeries
Indicates the specific time span or interval during which an installment, episode, or part occurs within a larger series or sequence.
-
E.
timePeriodFormulated
Indicates the time period during which something (such as a concept, theory, or plan) was formulated or developed.
- 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_69f349446e288190a70c05bcc4d81172 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a021706e21c81909b83e2b4d9c4130c |
completed | May 11, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_6a0216861214819097d2177755bc19d7 |
completed | May 11, 2026, 5:48 p.m. |
Created at: May 1, 2026, 1:18 a.m.