Triple
T16477016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iowa State Fairgrounds |
E400214
|
entity |
| Predicate | typicalEventSchedule |
P3309
|
FINISHED |
| Object | hosts events year-round in addition to the annual state fair |
—
|
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: hosts events year-round in addition to the annual state fair | Statement: [Iowa State Fairgrounds, typicalEventSchedule, hosts events year-round in addition to the annual state fair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEventSchedule Context triple: [Iowa State Fairgrounds, typicalEventSchedule, hosts events year-round in addition to the annual state fair]
-
A.
typicalSchedule
chosen
Indicates the usual or standard timing and sequence of activities or events associated with an entity.
-
B.
typicalEventDay
Indicates the day on which an event is normally or most commonly held or occurs.
-
C.
typicalEvent
Indicates that the associated event is a common, characteristic, or prototypical occurrence for the given entity or situation.
-
D.
typicalEventMonth
Indicates the month in which an event or type of event typically occurs.
-
E.
typicalDates
Indicates the usual or standard dates during which something typically occurs, is valid, or is scheduled.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32dd4f53081908f78b88435c8c719 |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:13 a.m.