Triple
T7132280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akatek |
E166217
|
entity |
| Predicate | hasAlternativeName |
P39
|
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: [Akatek, hasAlternativeName, Akateko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akateko Context triple: [Akatek, hasAlternativeName, 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.
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.
-
C.
Agutaynen
Agutaynen is an Austronesian language spoken by the Agutaynen people in the Philippines, primarily in the province of Palawan.
-
D.
Awakatek
Awakatek is a Mayan language spoken by the Awakatek people of Guatemala, closely related to Tektitek and part of the broader Mayan language family.
-
E.
Aku Aku
Aku Aku is a sentient wooden mask who guides and protects Crash Bandicoot throughout the Crash Bandicoot video game series.
- 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e66f15b88190bc1fb0f0a8af16a6 |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a341ede88190b43f26f1dad7bf70 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:45 p.m.