Triple
T31889900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poteet, Texas, United States |
E814118
|
entity |
| Predicate | PoteetStrawberryFestivalKnownFor |
P173007
|
FINISHED |
| Object | strawberry-themed events |
—
|
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: strawberry-themed events | Statement: [Poteet, Texas, United States, PoteetStrawberryFestivalKnownFor, strawberry-themed events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PoteetStrawberryFestivalKnownFor Context triple: [Poteet, Texas, United States, PoteetStrawberryFestivalKnownFor, strawberry-themed events]
-
A.
PoteetStrawberryFestivalHeldIn
Indicates that the Poteet Strawberry Festival takes place or is hosted at a specified location.
-
B.
famousSeasonalEvent
Indicates a recurring event that is widely recognized or celebrated during a particular season.
-
C.
cherryFestivalHeldIn
Indicates that a cherry festival takes place or is hosted in a specified location.
-
D.
festivalAlsoKnownAs
Indicates that a festival is referred to by an alternative name or alias.
-
E.
exampleFestival
Indicates that an entity is an instance or example of a particular festival event or type of festival.
- 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_69f348ef817481908440e2250319bcc8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b2d9aad88190a445f8f591cb19fc |
completed | May 3, 2026, 2:28 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b21da77081908c5c015c4606d344 |
completed | May 3, 2026, 2:25 a.m. |
Created at: April 30, 2026, 11:57 p.m.