Triple
T25804653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Center Township, Boone County, Indiana |
E649932
|
entity |
| Predicate | isOneOfTownshipsOfCounty |
P22464
|
FINISHED |
| Object | Boone County, Indiana |
—
|
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: Boone County, Indiana | Statement: [Center Township, Boone County, Indiana, isOneOfTownshipsOfCounty, Boone County, Indiana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfTownshipsOfCounty Context triple: [Center Township, Boone County, Indiana, isOneOfTownshipsOfCounty, Boone County, Indiana]
-
A.
isInCountySeatOf
Indicates that one entity is located within the town or city that serves as the administrative center (county seat) of a specified county.
-
B.
isInCountySubdivision
Indicates that one entity (typically a place or address) is located within the boundaries of a specific county subdivision.
-
C.
isNamedCountyOf
Indicates that a county bears a specific official name within a given jurisdiction or context.
-
D.
hasTownship
chosen
Indicates that one administrative area or jurisdiction includes or is associated with a specific township.
-
E.
isCornerCountyOf
Indicates that a county lies at or near the corner where two or more larger administrative regions (such as states or districts) meet.
- 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_69e7ab35d264819095367f7e80c983ff |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603bb02288190b40cedbed5b9651d |
completed | May 2, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 22, 2026, 7:02 a.m.