Triple
T24436678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theory of the Location of Industries |
E616141
|
entity |
| Predicate | coreModelFeature |
P106366
|
FINISHED |
| Object | location triangle |
—
|
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: location triangle | Statement: [Theory of the Location of Industries, coreModelFeature, location triangle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreModelFeature Context triple: [Theory of the Location of Industries, coreModelFeature, location triangle]
-
A.
featuresModel
Indicates that one entity includes, exposes, or is characterized by a particular model as one of its defining components or capabilities.
-
B.
coreModule
Indicates that something functions as a primary or foundational module within a larger system or structure.
-
C.
coreConstruct
Indicates a fundamental building or organizing relationship where one entity serves as the essential basis or primary component from which another entity is formed or structured.
-
D.
baseFeature
chosen
Indicates that one entity serves as the fundamental or primary feature upon which another entity is built or defined.
-
E.
supportsModelingOf
Indicates that one entity provides the capability or functionality needed to represent, simulate, or model another entity or process.
- 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_69e2d7ec44b081909ccaf1f3bbec0641 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29786fbcc819090a04bf62c03e9a1 |
completed | April 29, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:16 a.m.