Triple
T4132785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AEF |
E85078
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | AEF |
E85078
|
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: AEF | Statement: [AEF, shortName, AEF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AEF Context triple: [AEF, shortName, AEF]
-
A.
AEF
chosen
AEF was the common abbreviation for French Equatorial Africa, a former federation of French colonial territories in central Africa.
-
B.
EAF
The EAF is the aerial warfare branch of Egypt's armed forces, responsible for defending the country's airspace and conducting air operations.
-
C.
EOAF
EOAF is the abbreviated name for the Massachusetts Executive Office for Administration and Finance, the state agency responsible for overseeing the Commonwealth’s budget, financial management, and administrative policy.
-
D.
BEF
The BEF was the British Army force deployed to France at the start of World War II, which fought in the early campaigns and was famously evacuated from Dunkirk in 1940.
-
E.
AFT
AFT is a major American labor union representing teachers and other education professionals across the United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af022f55fc81909f2a1a04d0ea59e6 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576c4c0888190be156d093ea11207 |
completed | March 14, 2026, 2:55 p.m. |
Created at: March 9, 2026, 3:42 p.m.