Triple
T6988647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PRC (African Union) |
E162028
|
entity |
| Predicate | meetsLevel |
P1873
|
FINISHED |
| Object | permanent representatives and plenipotentiaries of 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: permanent representatives and plenipotentiaries of member states | Statement: [PRC (African Union), meetsLevel, permanent representatives and plenipotentiaries of member states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meetsLevel Context triple: [PRC (African Union), meetsLevel, permanent representatives and plenipotentiaries of member states]
-
A.
meetsAtLevel
chosen
Indicates that two or more entities encounter or interact with each other at a specific hierarchical, structural, or progression level.
-
B.
meetsCurrent
Indicates that an entity currently satisfies or fulfills a specified condition, requirement, or standard.
-
C.
meetsTo
Indicates that one entity comes together with another at a specific time and place for an encounter, appointment, or interaction.
-
D.
meets
Indicates that two or more entities come together at the same place and time, typically for interaction or a shared purpose.
-
E.
meetsFollowing
Indicates that one entity encounters or comes together with another entity that appears or occurs later in a given sequence or order.
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbbd926c8190a8b60527bd553fa3 |
completed | March 27, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c4a18881908d267137daed828b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:32 p.m.