Triple
T23471084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Organisation internationale de la Francophonie |
E570127
|
entity |
| Predicate | holdsSummitEvery |
P144785
|
FINISHED |
| Object | 2 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: 2 years | Statement: [Organisation internationale de la Francophonie, holdsSummitEvery, 2 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holdsSummitEvery Context triple: [Organisation internationale de la Francophonie, holdsSummitEvery, 2 years]
-
A.
holdsSummit
Indicates that an entity organizes and conducts a formal summit meeting or conference with others.
-
B.
holdsSummitFrequency
chosen
Indicates how often a summit or high-level meeting is held within a given time period.
-
C.
hasSummitIn
Indicates that an entity (such as a mountain or organization) has its summit or peak located within a specified place or region.
-
D.
hasSummit
Indicates that one entity possesses, features, or includes a summit or highest point as part of its structure or characteristics.
-
E.
summitCount
Indicates the number of summits or peak ascents associated with an entity.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6ff8dc0819086961b1f07030d9c |
completed | April 29, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:55 p.m.