Triple
T4650348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All European Academies |
E102276
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | ALLEA |
E22826
|
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: ALLEA | Statement: [All European Academies, abbreviation, ALLEA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ALLEA Context triple: [All European Academies, abbreviation, ALLEA]
-
A.
ALLEA
chosen
ALLEA (All European Academies) is a European federation that brings together national academies of sciences and humanities to promote science, scholarship, and evidence-based policy across Europe.
-
B.
ALLA
ALLA is a professional organization within anthropology that focuses on the scholarship, advocacy, and interests of Latina and Latino communities.
-
C.
EALA
EALA is the regional legislative body of the East African Community responsible for making laws and providing oversight for the bloc.
-
D.
Ale
Ale is a common short form of the Italian given name Alessandro, often used as a casual or affectionate nickname.
-
E.
ALEA
ALEA is the statewide law enforcement and public safety agency for the U.S. state of Alabama.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6302078081909451589d39c7b28c |
completed | March 20, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0374967c8190b77bcd3ea1c4d59d |
completed | March 21, 2026, 2:33 a.m. |
Created at: March 20, 2026, 1:14 p.m.