Triple
T38256110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Committee of the United Nations General Assembly |
E1017797
|
entity |
| Predicate | numberOfMainCommitteesInGA |
P9636
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Third Committee of the United Nations General Assembly, numberOfMainCommitteesInGA, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMainCommitteesInGA Context triple: [Third Committee of the United Nations General Assembly, numberOfMainCommitteesInGA, 6]
-
A.
numberOfMainCommittees
chosen
Indicates the total count of primary or main committees associated with an entity.
-
B.
numberOfCommitteeMembers
Indicates the total count of individuals who are members of a given committee.
-
C.
hasNumberOfCommittees
Indicates the relationship that specifies how many committees are associated with a given entity.
-
D.
hasStandingCommittees
Indicates that an entity maintains one or more permanent (standing) committees as part of its organizational structure.
-
E.
hasNumberOfSubcommittees
Indicates the relationship that specifies how many subcommittees 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_69f76de33e4481909099fa812709bd42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.