Triple
T33281481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Side Nut Club Fall Festival |
E852054
|
entity |
| Predicate | foodBoothsOperatedBy |
P50801
|
FINISHED |
| Object | churches |
—
|
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: churches | Statement: [West Side Nut Club Fall Festival, foodBoothsOperatedBy, churches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foodBoothsOperatedBy Context triple: [West Side Nut Club Fall Festival, foodBoothsOperatedBy, churches]
-
A.
hasFoodVendors
chosen
Indicates that one entity provides or hosts food vendors that operate at or within another entity.
-
B.
foodSold
Indicates that a particular food item is sold or offered for sale by a specific seller or at a specific place.
-
C.
operatedEstablishmentIn
Indicates that an entity ran or managed an establishment located within a specified place or jurisdiction.
-
D.
alsoEats
Indicates that an entity consumes something in addition to another item or items it already eats.
-
E.
marketOperatedBy
Indicates that a market is managed, controlled, or run by a specific operator or organization.
- 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_69f349653da08190819876015a298fdb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:32 a.m.