Triple
T27378973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girard, Ohio |
E691160
|
entity |
| Predicate | hasIndustrialHistoryRelatedTo |
P2411
|
FINISHED |
| Object | steel 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: steel industry | Statement: [Girard, Ohio, hasIndustrialHistoryRelatedTo, steel industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndustrialHistoryRelatedTo Context triple: [Girard, Ohio, hasIndustrialHistoryRelatedTo, steel industry]
-
A.
hasIndustrialHeritage
chosen
Indicates that an entity possesses or is associated with historically significant industrial sites, structures, or practices.
-
B.
hasIndustrialContext
Indicates that something is associated with, situated within, or relevant to an industrial setting, process, or application.
-
C.
historicalPeriodOfIndustrialUse
Indicates the historical time span during which an entity was used for industrial purposes.
-
D.
industrializedBy
Indicates that an entity has undergone industrial development or transformation as a result of actions carried out by another specified agent or process.
-
E.
hasIndustrialDevelopment
Indicates that an entity possesses, supports, or is characterized by industrial growth, infrastructure, or manufacturing-related development.
- 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_69ef52022538819081f873d0c84a6dd6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
Created at: April 27, 2026, 12:22 p.m.