Triple
T21997347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASOSAI |
E543238
|
entity |
| Predicate | hasBody |
P35
|
FINISHED |
| Object | Assembly |
—
|
NE NERFINISHED |
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: Assembly | Statement: [ASOSAI, hasBody, Assembly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Assembly Context triple: [ASOSAI, hasBody, Assembly]
-
A.
Assembly
The Assembly is the highest governing body of the World Council of Churches, where its member churches gather periodically to set policies, elect leadership, and discern common directions for the ecumenical movement.
-
B.
Assembly
The Assembly is the main deliberative body of the Inter-Parliamentary Union, where parliamentarians from member countries meet to debate global issues and adopt resolutions.
-
C.
Assembly
chosen
Assembly is the principal decision-making body of the African Union, composed of heads of state and government from its member countries.
-
D.
Assembly
"Assembly" is a 2007 Chinese war drama film directed by Feng Xiaogang, acclaimed for its intense depiction of the Chinese Civil War and featuring Zhang Hanyu in a breakthrough leading role.
-
E.
Assembler
Assembler is a low-level programming language used on IBM mainframe systems like z/OS for writing highly efficient, hardware-near system and application code.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12765fb0c81908f7b7acda065ee2f |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:19 p.m.