Triple
T2653658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ollie’s Barbecue |
E53956
|
entity |
| Predicate | percentageOfFoodFromOutOfState |
P41961
|
FINISHED |
| Object | approximately 50 percent |
—
|
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: approximately 50 percent | Statement: [Ollie’s Barbecue, percentageOfFoodFromOutOfState, approximately 50 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageOfFoodFromOutOfState Context triple: [Ollie’s Barbecue, percentageOfFoodFromOutOfState, approximately 50 percent]
-
A.
usedByUSStatePortion
Indicates that something (such as a resource, facility, or infrastructure) is utilized or operated by a specific portion or subdivision of a U.S. state.
-
B.
hasInterstate
Indicates that there exists an interstate connection or highway link between the related entities.
-
C.
homeStateFlag
Indicates that a particular flag is officially recognized as the state flag of the referenced home state.
-
D.
countryIncludes
Indicates that a country geographically or administratively contains or encompasses a specified region, territory, or subdivision.
-
E.
isInUSState
Indicates that one entity (typically a place or location) is geographically located within the boundaries of a specific U.S. state.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abda0ba2208190ad87763ecbef8c3c |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd815d06481909535c02b0aba8553 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abda0a13308190a986df86270258a7 |
completed | March 7, 2026, 7:55 a.m. |
Created at: March 6, 2026, 9:53 p.m.