Triple
T34388266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toby the Bear |
E882616
|
entity |
| Predicate | stateOfOrganizationRepresented |
P196997
|
FINISHED |
| Object | Georgia |
—
|
NE NERFINISHED |
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: Georgia | Statement: [Toby the Bear, stateOfOrganizationRepresented, Georgia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateOfOrganizationRepresented Context triple: [Toby the Bear, stateOfOrganizationRepresented, Georgia]
-
A.
organizationRepresentedState
Indicates that an organization formally acts on behalf of, or serves as the official representative of, a particular state.
-
B.
sectorRepresented
Indicates that an entity serves as a representative or proxy for a particular sector (such as an industry, domain, or market segment).
-
C.
candidateRepresentedState
Indicates that a political candidate officially represents or runs for office on behalf of a particular state.
-
D.
representsStateIn
Indicates that one entity serves as a representative or embodiment of a particular state, condition, or status of another entity.
-
E.
provinceRepresented
Indicates that an entity (such as a person or office) serves as the official representative of a particular province.
- 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_69f349c0219881909393bbbc1edc8161 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
| PDg | Predicate description generation | batch_69fe72db8810819089e397961b8ead7a |
completed | May 8, 2026, 11:33 p.m. |
Created at: May 1, 2026, 1:59 a.m.