Triple
T9540401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep River Township |
E230140
|
entity |
| Predicate | followsCountyRegulations |
P43654
|
FINISHED |
| Object | Poweshiek County regulations |
—
|
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: Poweshiek County regulations | Statement: [Deep River Township, followsCountyRegulations, Poweshiek County regulations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsCountyRegulations Context triple: [Deep River Township, followsCountyRegulations, Poweshiek County regulations]
-
A.
hasRegulations
Indicates that one entity imposes, contains, or is associated with rules or regulatory requirements that govern the behavior or operation of another entity.
-
B.
hasLocalOrdinances
Indicates that a governing body or jurisdiction has established and enacted specific local ordinances or regulations.
-
C.
isSubjectToCountyGovernment
chosen
Indicates that an entity falls under the jurisdiction, authority, or administrative control of a county-level government.
-
D.
supportsRegulation
Indicates that one entity endorses, backs, or advocates for the implementation or continuation of a specific regulation.
-
E.
regulatedIn
Indicates that one entity’s activity, expression, or occurrence is controlled, influenced, or modulated by another entity within a specific context or system.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e695948190ab107fff38c57de7 |
completed | April 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ccd58bd21881908b860e3ee469af13 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:01 p.m.