Triple
T6821111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent, Ohio |
E156899
|
entity |
| Predicate | incorporationType |
P73258
|
FINISHED |
| Object | city |
—
|
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: city | Statement: [Kent, Ohio, incorporationType, city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incorporationType Context triple: [Kent, Ohio, incorporationType, city]
-
A.
incorporatedStatus
Indicates whether an entity has been legally formed and registered as a corporation or similar incorporated organization.
-
B.
incorporatedAs
Indicates that an organization has been legally formed and registered under a specific corporate structure or name.
-
C.
companyIncorporatedIn
Indicates that a company was legally formed and registered in a specified jurisdiction or location.
-
D.
incorporationDescription
Indicates that a description is provided explaining the details, terms, or nature of an incorporation event or process.
-
E.
stateOfIncorporation
Indicates the legal jurisdiction (state or equivalent) under whose laws an organization or company is formally incorporated.
- F. None of above. chosen
Provenance (4 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d35a8af08190a172c7baa16a3b62 |
completed | March 27, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69c6d09bb4f881909bf20c188cb3e8e1 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d1d5f1908190989efc8a2d18c965 |
completed | March 27, 2026, 6:52 p.m. |
Created at: March 27, 2026, 2:17 p.m.