Triple
T18630470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fellow of the Econometric Society |
E455401
|
entity |
| Predicate | frequencyOfElection |
P2971
|
FINISHED |
| Object | annual |
—
|
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: annual | Statement: [Fellow of the Econometric Society, frequencyOfElection, annual]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequencyOfElection Context triple: [Fellow of the Econometric Society, frequencyOfElection, annual]
-
A.
portionUpForElectionEachCycle
Indicates what fraction of the total membership or seats is contested in each election cycle.
-
B.
numberOfElectionsHeld
Indicates the total count of elections that have been conducted for a given entity or context.
-
C.
electionCycle
chosen
Indicates the recurring period or sequence of time in which elections are organized, conducted, and repeated for a given office or political system.
-
D.
hasRegularElections
Indicates that a governing body or political entity holds elections at consistent, scheduled intervals according to established rules or norms.
-
E.
isElectedEvery
Indicates that an entity is chosen for a role or position through an election process at every specified interval or in every relevant instance.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f07fa8481908b2535b8fba70b7e |
completed | April 19, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69e478d4a7948190a4bb9223bb5dddfc |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:46 a.m.