Triple
T16951369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akateko |
E411186
|
entity |
| Predicate | hasGlottologName |
P6521
|
FINISHED |
| Object | Akateko |
E411186
|
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: Akateko | Statement: [Akateko, hasGlottologName, Akateko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akateko Context triple: [Akateko, hasGlottologName, Akateko]
-
A.
Akateko
chosen
Akateko is a Mayan language spoken primarily by the Akateko people in the western highlands of Guatemala and parts of southern Mexico.
-
B.
Ake
Ake is a district in Abeokuta, Nigeria, historically known as a traditional center of Egba leadership and culture.
-
C.
Aku Uka
Aku Uka is the paramount traditional monarch of the Jukun people, historically associated with the ancient Kwararafa kingdom in present-day Taraba State, Nigeria.
-
D.
Ipe-Akoko
Ipe-Akoko is a prominent town in Ondo State, southwestern Nigeria, known as one of the key communities in the Akoko region.
-
E.
Akatsi
Akatsi is a town in southeastern Ghana that serves as a local commercial and administrative center within the Volta Region.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb6e5fc8190b1bd3ad1c2773685 |
completed | April 18, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46213b08190b33b48d12bc795d1 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.