Triple
T8632660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AGA |
E204439
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | AAA |
unclear NED1
|
NE 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: AAA | Statement: [AGA, successor, AAA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AAA Context triple: [AGA, successor, AAA]
-
A.
AAA
AAA is a common small cylindrical battery size widely used in portable electronic devices such as remote controls and small gadgets.
-
B.
AAA
AAA was a New Deal-era U.S. government agency created to regulate agricultural production and stabilize farm prices during the Great Depression.
-
C.
AAA
AAA is the highest long-term credit rating assigned by major rating agencies, indicating an extremely strong capacity to meet financial commitments.
-
D.
AAA
AAA is the common abbreviation for the Arkansas Activities Association, the governing body for high school athletics and activities in Arkansas.
-
E.
AA
AA is a common cylindrical battery size widely used in household electronic devices such as remote controls, toys, and flashlights.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4742a89081909f9f7b3621e50b40 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc13073c8190ad6e92b8f7161739 |
completed | April 2, 2026, 6:57 p.m. |
Created at: March 30, 2026, 6:27 p.m.