Triple
T613837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayne Township, DuPage County, Illinois |
E12158
|
entity |
| Predicate | hasGovernmentSeatType |
P17125
|
FINISHED |
| Object | township office |
—
|
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 office | Statement: [Wayne Township, DuPage County, Illinois, hasGovernmentSeatType, township office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGovernmentSeatType Context triple: [Wayne Township, DuPage County, Illinois, hasGovernmentSeatType, township office]
-
A.
cityAsSeatOfGovernment
Indicates that a city serves as the official seat or location of a government’s central authority or administration.
-
B.
municipalitySeat
Indicates that one entity serves as the administrative center or capital (seat) of a municipality.
-
C.
seatOfGovernment
Indicates that a location serves as the administrative center where a government exercises its official authority and conducts its primary governing functions.
-
D.
isDistrictCapitalOf
Indicates that a location serves as the administrative or governmental capital of a specified district.
-
E.
countySeat
Indicates that one place serves as the administrative center or capital of a county.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49e0a0f588190b953fdb585263307 |
completed | March 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69a49cfbcbf88190a854921dc531eba8 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49def31ec81909dc53e70f4a36eda |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.