Triple
T1570400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fundamental Orders of Connecticut |
E33524
|
entity |
| Predicate | setsMinimumAgeForGovernor |
P30687
|
FINISHED |
| Object | 31 |
—
|
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: 31 | Statement: [Fundamental Orders of Connecticut, setsMinimumAgeForGovernor, 31]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setsMinimumAgeForGovernor Context triple: [Fundamental Orders of Connecticut, setsMinimumAgeForGovernor, 31]
-
A.
minimumAgeOfLegislator
Indicates the minimum age requirement that an individual must meet to serve as a legislator.
-
B.
minimumRegistrationAge
Indicates the lowest age at which an entity is allowed or eligible to register for something.
-
C.
votingAge
Indicates the minimum age at which an individual is legally permitted to vote.
-
D.
setsTermOfOfficeFor
Indicates that one entity establishes or defines the duration and conditions of the term of office for another entity.
-
E.
militaryAge
Indicates that an entity is within the age range typically considered eligible for military service.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a96083e7308190abbf025fe8e43abb |
completed | March 5, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69a907ba63c88190b60c14dec8d1e40f |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a9607716b4819092187f8c08daaf31 |
completed | March 5, 2026, 10:52 a.m. |
Created at: March 4, 2026, 7:27 p.m.