Triple
T36213007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington Township, Licking County, Ohio |
E1047608
|
entity |
| Predicate | fiscalOfficerTermStart |
P1814
|
FINISHED |
| Object | April 1 following the election |
—
|
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: April 1 following the election | Statement: [Washington Township, Licking County, Ohio, fiscalOfficerTermStart, April 1 following the election]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fiscalOfficerTermStart Context triple: [Washington Township, Licking County, Ohio, fiscalOfficerTermStart, April 1 following the election]
-
A.
termStart (as Minister of Finance)
Indicates the date or point in time when an individual began serving in the role of Minister of Finance.
-
B.
officeHolderStartTime
chosen
Indicates the date and time at which an individual begins holding a particular office or position.
-
C.
lastOfficeHolderStartDate
Indicates the date on which the most recent person to hold a particular office or position began their term.
-
D.
governmentTermStart
Indicates the date or point in time when a particular government’s term in office officially begins.
-
E.
significantOfficeHolderStartTime
Indicates the date and time at which an entity begins holding a significant office or position.
- 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_69f76e4214748190a76c986d2a1838c2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.