Triple
T35980312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakeshore |
E1040543
|
entity |
| Predicate | hasManufacturingEconomyComponent |
P202228
|
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: [Lakeshore, hasManufacturingEconomyComponent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasManufacturingEconomyComponent Context triple: [Lakeshore, hasManufacturingEconomyComponent, true]
-
A.
hasIndustrialOutput
chosen
Indicates that an entity produces goods or services as part of industrial or manufacturing activity.
-
B.
usesManufacturingType
Indicates that one entity produces or processes something by applying a specific type or method of manufacturing.
-
C.
hasProductionFacilitiesIn
Indicates that an entity operates or owns production facilities located within a specified geographic area or jurisdiction.
-
D.
isMajorIndustrialEconomy
Indicates that an entity is one of the world’s leading industrialized economies, characterized by large-scale industrial output and significant influence in global economic activity.
-
E.
hasMajorProductionSystem
Indicates that an entity primarily operates, utilizes, or is characterized by a particular major production system.
- 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_69f76e28293c8190ae3f4e2208b87117 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a030d3db2748190b32fcf7b21bd0d0a |
completed | May 12, 2026, 11:21 a.m. |
| PD | Predicate disambiguation | batch_6a030ca6bf388190b2f6931376323da3 |
completed | May 12, 2026, 11:19 a.m. |
Created at: May 3, 2026, 4:07 p.m.