Triple
T30811783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterloo County |
E784662
|
entity |
| Predicate | wasIndustrialHub |
P3436
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Waterloo County, wasIndustrialHub, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasIndustrialHub Context triple: [Waterloo County, wasIndustrialHub, true]
-
A.
isIndustrialCenter
chosen
Indicates that a place functions as a major hub of industrial activity, production, or manufacturing within a region.
-
B.
hasIndustrialCompany
Indicates that one entity possesses, controls, or is associated with an industrial company.
-
C.
isITHubOf
Indicates that an entity serves as a central location or primary center for IT-related activities, services, or operations for another entity or area.
-
D.
isUrbanAndIndustrialHub
Indicates that a place functions as a major center of urban activity and industrial production.
-
E.
isIndustrialSite
Indicates that a location functions primarily as a site for industrial activities such as manufacturing, processing, or large-scale production.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6906564448190972c23b8344bc373 |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:43 p.m.