Triple
T7077463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunflower State |
E164854
|
entity |
| Predicate | hasGovernmentFormOfReferent |
P56329
|
FINISHED |
| Object | U.S. state government |
—
|
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: U.S. state government | Statement: [Sunflower State, hasGovernmentFormOfReferent, U.S. state government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGovernmentFormOfReferent Context triple: [Sunflower State, hasGovernmentFormOfReferent, U.S. state government]
-
A.
hasGovernmentBody
Indicates that one entity serves as the official governing or administrative body responsible for overseeing or managing another entity.
-
B.
formedGovernmentWith
Indicates that two or more political entities joined together to establish or lead a government in partnership.
-
C.
governmentalForm
chosen
Indicates the type or structure of governance that characterizes a political entity or organization.
-
D.
hasGovernmentTypeCountry
Indicates that a country possesses or is characterized by a particular form or type of government.
-
E.
formedGovernmentIn
Indicates that an entity established or took office as the governing authority of a political unit in a specified place or jurisdiction.
- 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_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4ee29288190a9a3fa7a6c713d8f |
completed | March 27, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bfcb948190a5ada74fb8c054cb |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:40 p.m.