Triple
T28812917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grundy County township system |
E727563
|
entity |
| Predicate | usesElectedOffice |
P166504
|
FINISHED |
| Object | township supervisor |
—
|
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: township supervisor | Statement: [Grundy County township system, usesElectedOffice, township supervisor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesElectedOffice Context triple: [Grundy County township system, usesElectedOffice, township supervisor]
-
A.
usedByCandidateForOffice
Indicates that something (such as a resource, tool, or material) is utilized by a person who is running for a specific public office in the context of their candidacy.
-
B.
isElectoralOffice
Indicates that the referenced position or role is an official public office filled through an electoral process.
-
C.
electedOffice
Indicates that an entity holds or has held a particular office or position as a result of an election.
-
D.
isElectedFor
Indicates that an entity attains a position, role, or office as the result of an election for that specific position.
-
E.
nominatedForOffice
Indicates that an entity has been formally put forward as a candidate to hold a particular office or position.
- 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6622808b48190bbabcc75288ab031 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f6617a7e7c81908cfac4a2250797ee |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 28, 2026, 6:31 a.m.