Triple
T1267100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITU Plenipotentiary Conference |
E15625
|
entity |
| Predicate | meetingInterval |
P2557
|
FINISHED |
| Object | quadrennial |
—
|
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: quadrennial | Statement: [ITU Plenipotentiary Conference, meetingInterval, quadrennial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meetingInterval Context triple: [ITU Plenipotentiary Conference, meetingInterval, quadrennial]
-
A.
meetingFrequency
chosen
Indicates how often a meeting or recurring gathering takes place over a given period.
-
B.
meetingDay
Indicates the specific day on which a meeting is scheduled or takes place between the related entities.
-
C.
meetingType
Indicates the specific category or format of a meeting that characterizes how it is organized or conducted.
-
D.
meetingNumber
Indicates the specific numerical identifier assigned to distinguish one meeting from others.
-
E.
meetsEvery
Indicates that one entity encounters or comes into contact with every member of a specified set of entities.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c037f14c8190baa42f70f8846583 |
completed | March 1, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69a4bede52a081909665d60acbe41d31 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.