Triple
T1600894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Committee (Social, Humanitarian and Cultural) |
E34387
|
entity |
| Predicate | committeeNumber |
P30616
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Third Committee (Social, Humanitarian and Cultural), committeeNumber, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: committeeNumber Context triple: [Third Committee (Social, Humanitarian and Cultural), committeeNumber, 3]
-
A.
committeeSystem
Indicates that an entity operates under, is governed by, or is organized according to a committee-based decision-making system.
-
B.
partyNumber
Indicates the identifier or ordinal position assigned to a specific party within a multi-party relationship or transaction.
-
C.
selectionCommitteeSize
Indicates the number of members that make up a given selection committee.
-
D.
committeeFunction
Indicates that a committee performs, is responsible for, or is associated with a particular function or role.
-
E.
teamNumber
Indicates the specific numeric identifier assigned to a team within a larger group or system.
- F. None of above. chosen
Provenance (4 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a95b02cd448190be8e3db9a5a7bac0 |
completed | March 5, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69a907c1cad08190b9728dd557f39aa0 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a95aada3f881909053363c01de8b57 |
completed | March 5, 2026, 10:29 a.m. |
Created at: March 4, 2026, 7:28 p.m.