Triple
T28812916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grundy County township system |
E727563
|
entity |
| Predicate | usesGovernmentBodyType |
P130835
|
FINISHED |
| Object | township board |
—
|
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 board | Statement: [Grundy County township system, usesGovernmentBodyType, township board]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesGovernmentBodyType Context triple: [Grundy County township system, usesGovernmentBodyType, township board]
-
A.
hasGovernmentalBodyType
chosen
Indicates the specific kind or classification of governmental body that an entity possesses or is associated with.
-
B.
basedInGovernmentType
Indicates that an entity operates within or is associated with a government of a specified governmental system or type.
-
C.
governmentBodyUser
Indicates a relationship where a user is associated with, represents, or acts on behalf of a specific government body.
-
D.
usesGovernmentBuilding
Indicates that an entity makes use of a government-owned or government-operated building for some purpose or activity.
-
E.
usedInGovernmentBody
Indicates that an entity is employed by, serves within, or is otherwise functionally involved in the operations of a government body.
- 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658f05db88190b613173eece383d4 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:31 a.m.