Triple
T567521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alaska Constitution |
E13586
|
entity |
| Predicate | conventionQuestionFrequency |
P2557
|
FINISHED |
| Object | every 10 years |
—
|
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: every 10 years | Statement: [Alaska Constitution, conventionQuestionFrequency, every 10 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conventionQuestionFrequency Context triple: [Alaska Constitution, conventionQuestionFrequency, every 10 years]
-
A.
numberOfQuestions
Indicates the total count of questions associated with or contained in a given entity or context.
-
B.
meetingFrequency
chosen
Indicates how often a meeting or recurring gathering takes place over a given period.
-
C.
questionHour
Indicates the specific hour at which a question is asked, scheduled, or associated.
-
D.
questionType
Indicates the specific category or kind of question that an item, query, or prompt belongs to.
-
E.
conventionState
Indicates that an entity is in a particular formal status or phase within a convention or agreed procedural framework.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b02da148190b6a9bad3a22d8ec5 |
completed | March 1, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69a494c183b081909304944aa3d0fe8f |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.