Triple
T1316744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akademi Kreyòl Ayisyen |
E28120
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | AKA |
E28120
|
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: AKA | Statement: [Akademi Kreyòl Ayisyen, shortName, AKA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AKA Context triple: [Akademi Kreyòl Ayisyen, shortName, AKA]
-
A.
AKA
chosen
AKA is the standard abbreviation for Akademi Kreyòl Ayisyen, the official institution responsible for regulating and promoting the Haitian Creole language.
-
B.
Ako
Ako is a coastal city in southwestern Hyogo Prefecture, Japan, historically known for its salt production and the story of the Forty-seven Ronin.
-
C.
Auch
Auch is a historic town in southwestern France that serves as the capital of the Gers department and is known for its cathedral and medieval old town.
-
D.
Agen
Agen is a historic town in southwestern France known for its prunes and location between Bordeaux and Toulouse.
-
E.
Akan
Akan is a major Central Tano language spoken primarily in Ghana and parts of Côte d’Ivoire, serving as a key lingua franca and cultural language for the Akan people.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c175079481909077cf11ed72d6fa |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbaf16a84819089c3473113ae70f9 |
completed | March 7, 2026, 11:55 p.m. |
Created at: March 1, 2026, 7:55 p.m.