Triple
T1555060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beer City USA |
E33183
|
entity |
| Predicate | refersToIndustry |
P24922
|
FINISHED |
| Object | brewing industry in Bend, Oregon |
—
|
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: brewing industry in Bend, Oregon | Statement: [Beer City USA, refersToIndustry, brewing industry in Bend, Oregon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToIndustry Context triple: [Beer City USA, refersToIndustry, brewing industry in Bend, Oregon]
-
A.
isPartOfIndustry
Indicates that one entity belongs to, operates within, or is categorized under a particular industry sector.
-
B.
industryContext
chosen
Indicates the industry or sector within which an entity, activity, or relationship is situated or most relevant.
-
C.
foundingIndustry
Indicates the industry or sector in which an entity was originally founded or began its primary operations.
-
D.
hasPrincipalIndustry
Indicates that an entity’s main or primary industry of operation is the specified industry.
-
E.
usedInIndustry
Indicates that something is employed or applied within a particular industry or industrial sector.
- 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_69a885ee6db8819099502bc5ce8af881 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9407d9d1481909597af97b16512cc |
completed | March 5, 2026, 8:36 a.m. |
| PD | Predicate disambiguation | batch_69a907b688d081908171f89010c53973 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:27 p.m.