Triple
T20713457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tribute Store (seasonal) |
E509104
|
entity |
| Predicate | foodAndBeverage |
P70493
|
FINISHED |
| Object | themed treats |
—
|
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: themed treats | Statement: [Tribute Store (seasonal), foodAndBeverage, themed treats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foodAndBeverage Context triple: [Tribute Store (seasonal), foodAndBeverage, themed treats]
-
A.
offersFoodAndBeverage
chosen
Indicates that an entity provides both food and drink to another entity or for general consumption.
-
B.
foodCustom
Indicates a culturally specific practice, rule, or tradition related to the preparation, serving, or consumption of food.
-
C.
alsoEats
Indicates that an entity consumes something in addition to another item or items it already eats.
-
D.
foodItem
Indicates that one entity is a food item that can be eaten or used as food in relation to another entity.
-
E.
storesFood
Indicates that one entity keeps or holds food items for future use or consumption.
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d001788190a524a17347f9de67 |
completed | April 21, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:15 p.m.