Triple
T1798525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICANN Board |
E39659
|
entity |
| Predicate | hasNumberOfVotingDirectors |
P22877
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [ICANN Board, hasNumberOfVotingDirectors, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfVotingDirectors Context triple: [ICANN Board, hasNumberOfVotingDirectors, 16]
-
A.
hasVotingMembers
Indicates that certain entities are recognized as having individuals or units with the authority to vote within a group, body, or decision-making process.
-
B.
numberOfBoardMembers
Indicates the total count of individuals who serve as members on a board.
-
C.
numberOfDirectors
chosen
Indicates the total count of directors associated with a given entity.
-
D.
hasNonvotingMember
Indicates that an entity is associated with a member who participates in some capacity but does not possess formal voting rights in the relevant decision-making process.
-
E.
hasNumberOfCouncillors
Indicates the relationship that specifies how many councillors are associated with a given 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab61b6ea188190aab9fb839bf1e367 |
completed | March 6, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69aa61d2f7a8819090301f92d3e358c7 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.