Triple
T3938179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Choloma |
E90964
|
entity |
| Predicate | hasIndustryType |
P19086
|
FINISHED |
| Object | export-oriented manufacturing |
—
|
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: export-oriented manufacturing | Statement: [Choloma, hasIndustryType, export-oriented manufacturing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndustryType Context triple: [Choloma, hasIndustryType, export-oriented manufacturing]
-
A.
hasPrincipalIndustry
Indicates that an entity’s main or primary industry of operation is the specified industry.
-
B.
isPartOfIndustry
chosen
Indicates that one entity belongs to, operates within, or is categorized under a particular industry sector.
-
C.
hasParentCompanyIndustry
Indicates that an entity’s parent company operates in, or is associated with, a specified industry.
-
D.
hasBusinessTypeAlong
Indicates that a business or commercial entity located along a route, corridor, or area is associated with a specific type or category of business activity.
-
E.
hasIndustrialCompany
Indicates that one entity possesses, controls, or is associated with an industrial company.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcfd7d48190bbacee8b5b1b5070 |
completed | March 9, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:24 p.m.