Triple
T1755190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuclear Non-Proliferation Treaty |
E38533
|
entity |
| Predicate | reviewConferenceFrequency |
P2557
|
FINISHED |
| Object | every five 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 five years | Statement: [Nuclear Non-Proliferation Treaty, reviewConferenceFrequency, every five years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reviewConferenceFrequency Context triple: [Nuclear Non-Proliferation Treaty, reviewConferenceFrequency, every five years]
-
A.
meetingFrequency
chosen
Indicates how often a meeting or recurring gathering takes place over a given period.
-
B.
conference2
Indicates that one entity is a conference or event that is associated with, hosted by, or otherwise related to another entity.
-
C.
conference1
Indicates a relationship where an entity is associated with, participates in, or is characterized as a specific conference event or instance.
-
D.
conferenceAtTheTime
Indicates that an event or situation occurs during the time period in which a specified conference is taking place.
-
E.
conferenceType
Indicates the specific category or kind of conference associated with an entity (e.g., workshop, symposium, seminar).
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba6a63f588190b53b39c6b97d74f4 |
completed | March 7, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69aa61c7ef4c8190abec87c96a787d82 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.