Triple
T30913805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Energy Forum |
E787525
|
entity |
| Predicate | hasMemberStatesCount |
P1590
|
FINISHED |
| Object | 70+ |
—
|
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: 70+ | Statement: [International Energy Forum, hasMemberStatesCount, 70+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberStatesCount Context triple: [International Energy Forum, hasMemberStatesCount, 70+]
-
A.
hasMembersPerState
Indicates a relationship that specifies how many members are associated with each state.
-
B.
hasMemberState
Indicates that an entity includes or comprises another entity as one of its constituent member states within a larger organizational or political structure.
-
C.
numberOfMemberStates
chosen
Indicates the total count of member states associated with a given entity or organization.
-
D.
memberStatesAreMemberOf
Indicates that certain states belong to or hold membership in a particular organization, group, or union.
-
E.
hasMemberCountType
Indicates the type or classification used to describe how the number of members in a group or collection is represented.
- 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_69f224be300c8190a6513ce1ee0a7026 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: April 29, 2026, 8:51 p.m.