Triple
T32973101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wray |
E843577
|
entity |
| Predicate | scarecrowFestivalFrequency |
P78772
|
FINISHED |
| Object | annual |
—
|
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: annual | Statement: [Wray, scarecrowFestivalFrequency, annual]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scarecrowFestivalFrequency Context triple: [Wray, scarecrowFestivalFrequency, annual]
-
A.
carnivalFrequency
Indicates how often a carnival event occurs within a given time period.
-
B.
hasFestivalFrequency
chosen
Indicates how often a festival or recurring celebratory event takes place within a given time period.
-
C.
raidsOccurEvery
Indicates that raids take place at regular intervals defined by a specific time period or frequency.
-
D.
exhibitionFrequency
Indicates how often an entity is displayed, presented, or exhibited within a given context or time period.
-
E.
apparitionFrequency
Indicates how often an entity appears, manifests, or becomes perceptible within a given context or timeframe.
- 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_69f3494b9fc48190bb61c955ba471275 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:22 a.m.