Triple
T25990329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parke County, Indiana |
E646329
|
entity |
| Predicate | hasNotableSeasonalEvent |
P1190
|
FINISHED |
| Object | October covered bridge festival period |
—
|
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: October covered bridge festival period | Statement: [Parke County, Indiana, hasNotableSeasonalEvent, October covered bridge festival period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableSeasonalEvent Context triple: [Parke County, Indiana, hasNotableSeasonalEvent, October covered bridge festival period]
-
A.
hasSeasonalEvents
Indicates that an entity organizes or experiences events that occur only during specific seasons or times of the year.
-
B.
hasSeasonalNature
Indicates that something exhibits characteristics, behavior, or occurrence patterns that vary according to specific seasons or times of the year.
-
C.
hasImportantSeason
chosen
Indicates that an entity experiences a particular season or time period that is especially significant or notable for it.
-
D.
famousSeasonalEvent
Indicates a recurring event that is widely recognized or celebrated during a particular season.
-
E.
hasSeasonalStatus
Indicates that an entity’s status, availability, or condition varies according to a particular season or time of year.
- 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_69e77e88cb8481908da31d4a00661f55 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: April 22, 2026, 8:56 a.m.