Triple
T1350821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayan languages |
E28875
|
entity |
| Predicate | includesLanguage |
P2177
|
FINISHED |
| Object | Awakatek |
E153797
|
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: Awakatek | Statement: [Mayan languages, includesLanguage, Awakatek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Awakatek Context triple: [Mayan languages, includesLanguage, Awakatek]
-
A.
Otomi
Otomi is an indigenous Oto-Manguean language spoken by the Otomi people across several states in central Mexico.
-
B.
Jakaltek
chosen
Jakaltek is a Mayan language spoken primarily by the Jakaltek (Popti’) people of Guatemala’s western highlands.
-
C.
Anogi
Anogi is a small traditional mountain village on the Greek island of Ithaca, known for its historic church, stone houses, and panoramic views.
-
D.
Takanot
Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
-
E.
Oshiwambo
Oshiwambo is a Bantu language (or cluster of closely related dialects) widely spoken by the Ovambo people in northern Namibia and southern Angola.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c26981d081909ca3b8d8cdf7cf2e |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd47917d88190a13d7705f09c0b58 |
completed | March 8, 2026, 1:44 a.m. |
Created at: March 1, 2026, 7:56 p.m.