Triple
T37724278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mississippi Valley Textile Museum |
E939675
|
entity |
| Predicate | industryDocumented |
P137329
|
FINISHED |
| Object | textile industry |
—
|
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: textile industry | Statement: [Mississippi Valley Textile Museum, industryDocumented, textile industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industryDocumented Context triple: [Mississippi Valley Textile Museum, industryDocumented, textile industry]
-
A.
documentedIndustry
chosen
Indicates that there is recorded or referenced documentation specifying the industry associated with an entity.
-
B.
industryContext
Indicates the industry or sector within which an entity, activity, or relationship is situated or most relevant.
-
C.
industryIntegrated
Indicates that something is closely connected or coordinated with industry practices, partners, or environments, often through collaboration, alignment, or direct involvement.
-
D.
industryActivities
Indicates the types of economic or business activities in which an industry or sector is engaged.
-
E.
industryStart
Indicates the point in time or event at which an industry, industrial activity, or industrial era begins.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaef0cec881908c2742d77d145901 |
completed | May 6, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.