Triple
T2554171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SITE Industrial Area |
E56694
|
entity |
| Predicate | hasTypeOfEnterprise |
P3504
|
FINISHED |
| Object | manufacturing enterprise |
—
|
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: manufacturing enterprise | Statement: [SITE Industrial Area, hasTypeOfEnterprise, manufacturing enterprise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfEnterprise Context triple: [SITE Industrial Area, hasTypeOfEnterprise, manufacturing enterprise]
-
A.
hasTypeOfOrganization
chosen
Indicates that an entity is classified as belonging to a particular type or category of organization.
-
B.
hasTypeOfCompanySetup
Indicates that an entity is associated with a specific legal or organizational form of company setup (e.g., sole proprietorship, partnership, corporation).
-
C.
containsOrganizationType
Indicates that an entity includes or is associated with an organization of a specified organizational type (e.g., company, nonprofit, government agency).
-
D.
hasTypeOfManagement
Indicates that an entity is associated with or operates under a specified form or style of management.
-
E.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0c8b6f08190a68645db3e8b779a |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.