Triple
T783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States of America |
E14
|
entity |
| Predicate | UNSecurityCouncilStatus |
P127
|
FINISHED |
| Object | permanent member |
—
|
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: permanent member | Statement: [United States of America, UNSecurityCouncilStatus, permanent member]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UNSecurityCouncilStatus Context triple: [United States of America, UNSecurityCouncilStatus, permanent member]
-
A.
countryOfCitizenship
Indicates the country in which a person or entity holds legal citizenship.
-
B.
administeredBy
Indicates that an action, service, or process is carried out, managed, or overseen by a specified agent or authority.
-
C.
status
chosen
Indicates the current condition, state, or standing of an entity within a given context.
-
D.
hasPresident
Indicates that an entity holds the position or role of president for another entity.
-
E.
elects
Indicates that one entity selects or chooses another entity for a position, role, or office, typically through a formal voting process.
- 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_69a22a285828819081a58308fb963df1 |
completed | Feb. 27, 2026, 11:35 p.m. |
| NER | Named-entity recognition | batch_69a23211f05c8190b8deb03a8540d84d |
completed | Feb. 28, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69a230c2c48481908beb1db3cc9768aa |
completed | Feb. 28, 2026, 12:03 a.m. |
Created at: Feb. 27, 2026, 11:36 p.m.