Triple
T32753780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Panel of Experts on Libya |
E837563
|
entity |
| Predicate | collectsInformationFrom |
P41259
|
FINISHED |
| Object | Member States |
—
|
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: Member States | Statement: [United Nations Panel of Experts on Libya, collectsInformationFrom, Member States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectsInformationFrom Context triple: [United Nations Panel of Experts on Libya, collectsInformationFrom, Member States]
-
A.
collectsInformationOn
chosen
Indicates that one entity gathers or acquires data, facts, or details about another entity.
-
B.
collectsDataFor
Indicates that one entity gathers or records data on behalf of, or for the benefit of, another entity.
-
C.
providesInformationIn
Indicates that one entity supplies or conveys information within or through another entity or context.
-
D.
usesInformationFor
Indicates that one entity applies or exploits information obtained from another entity for a particular purpose or activity.
-
E.
collectedThrough
Indicates that something was obtained, gathered, or acquired by means of a specified process, method, or channel.
- 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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: May 1, 2026, 1:12 a.m.