Triple
T15924145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Music Festival |
E386163
|
entity |
| Predicate | hasTemporalRegularity |
P59518
|
FINISHED |
| Object | held periodically |
—
|
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: held periodically | Statement: [International Music Festival, hasTemporalRegularity, held periodically]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTemporalRegularity Context triple: [International Music Festival, hasTemporalRegularity, held periodically]
-
A.
hasRegularity
chosen
Indicates that one entity exhibits a consistent, recurring pattern or uniform behavior with respect to another entity or over time.
-
B.
hasTemporalResolution
Indicates that one entity specifies the level of temporal detail or granularity at which another entity’s data, observation, or process is measured or represented.
-
C.
hasTemporalBehavior
Indicates that an entity exhibits a particular pattern, characteristic, or change in behavior over time.
-
D.
hasTemporalAttribute
Indicates that an entity is associated with a specific temporal property or characteristic, such as time, duration, or period.
-
E.
hasTemporalClassification
Indicates a relationship where something is assigned or associated with a specific temporal category, period, or time-based classification.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.