Triple
T1267053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Labour Conference |
E15624
|
entity |
| Predicate | eachMemberStateHas |
P2838
|
FINISHED |
| Object | four main delegates |
—
|
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: four main delegates | Statement: [International Labour Conference, eachMemberStateHas, four main delegates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eachMemberStateHas Context triple: [International Labour Conference, eachMemberStateHas, four main delegates]
-
A.
hasMembersPerState
chosen
Indicates a relationship that specifies how many members are associated with each state.
-
B.
memberStatesAreMemberOf
Indicates that certain states belong to or hold membership in a particular organization, group, or union.
-
C.
memberStatesOrganization
Indicates that an organization is composed of, or includes as members, the specified states.
-
D.
numberOfMemberStates
Indicates the total count of member states associated with a given entity or organization.
-
E.
hasMemberHeadquartersState
Indicates that the headquarters of a member entity is located within a particular state.
- 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.