Triple
T26775406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkansas Board of Apportionment |
E670104
|
entity |
| Predicate | composedOfOffice |
P169242
|
FINISHED |
| Object | Governor of Arkansas |
—
|
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: Governor of Arkansas | Statement: [Arkansas Board of Apportionment, composedOfOffice, Governor of Arkansas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composedOfOffice Context triple: [Arkansas Board of Apportionment, composedOfOffice, Governor of Arkansas]
-
A.
combinedWithOffice
Indicates that something is joined or integrated together with an office, typically forming a combined role, function, or arrangement.
-
B.
worksWithOffice
Indicates that an entity collaborates or is professionally associated with a particular office or office-based organization.
-
C.
officeIn
Indicates that one entity has an office located within the premises or jurisdiction of another entity.
-
D.
officeUnder
Indicates that one office is subordinate to, managed by, or organizationally within the authority of another office.
-
E.
aboutOffice
Indicates that something is related or pertains specifically to an office or office-related matters.
- 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_69eeb31c925881909b597f6e40056d28 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f67d691a948190afa7fb19ae7d4ac5 |
completed | May 2, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67c9ec1708190b26ccf402ed7b106 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 27, 2026, 4:04 a.m.