Triple
T20564714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Association of African and Malagasy States |
E504937
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | AASM |
—
|
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: AASM | Statement: [Association of African and Malagasy States, shortName, AASM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AASM Context triple: [Association of African and Malagasy States, shortName, AASM]
-
A.
AASM
chosen
AASM is the abbreviation for the Association of African and Malagasy States, a regional organization that promoted political and economic cooperation among newly independent African and Malagasy countries in the 1960s.
-
B.
AAS
AAS is a major professional organization dedicated to the advancement of astronomy and related sciences in the United States.
-
C.
AAS
AAS is a pan-African scientific organization that promotes excellence in science, technology, and innovation to drive sustainable development across the African continent.
-
D.
AAS
AAS is a federal acquisition organization that provides assisted procurement and contracting services to U.S. government agencies.
-
E.
AAS
AAS is a leading Australian scientific organization that promotes excellence in science, provides independent advice on scientific issues, and supports science education and public engagement.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a15c988190ba93823df119ca4d |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.