Triple
T34597553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Township, Hancock County, Indiana |
E888355
|
entity |
| Predicate | isSubjectToStateLawOf |
P1313
|
FINISHED |
| Object | 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: Indiana | Statement: [Green Township, Hancock County, Indiana, isSubjectToStateLawOf, Indiana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSubjectToStateLawOf Context triple: [Green Township, Hancock County, Indiana, isSubjectToStateLawOf, Indiana]
-
A.
isSubjectTo
chosen
Indicates that one entity is governed, affected, or constrained by the authority, rules, conditions, or influence of another entity.
-
B.
stateLawOf
Indicates that one entity is a law or legal provision that is in force within, or specifically governs, a particular state or subnational jurisdiction.
-
C.
stateLawAppliesFrom
Indicates that a particular state law becomes applicable starting from a specified point in time or under certain conditions.
-
D.
stateLawAtIssue
Indicates that a particular state law is the subject of dispute, analysis, or determination in a given legal context or case.
-
E.
stateLawRepresentedBy
Indicates that a particular state law is formally represented or advocated by a specified legal document, body, or representative entity.
- 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_69f349d3bfcc81909874c99e646fb3ea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:03 a.m.