Triple
T1350820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayan languages |
E28875
|
entity |
| Predicate | includesLanguage |
P2177
|
FINISHED |
| Object | Sakapultek |
E153796
|
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: Sakapultek | Statement: [Mayan languages, includesLanguage, Sakapultek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sakapultek Context triple: [Mayan languages, includesLanguage, Sakapultek]
-
A.
Punakapina
Punakapina is the Finnish Civil War of 1918, a conflict between the socialist Reds and conservative Whites that shaped Finland’s early independence.
-
B.
Sapokanikan
"Sapokanikan" is a song by American singer-songwriter Joanna Newsom from her 2015 album "Divers," noted for its intricate lyrics and historical allusions.
-
C.
Bawitdaba
"Bawitdaba" is a high-energy rap-rock song by Kid Rock that became one of his signature hits and helped propel him to mainstream fame in the late 1990s.
-
D.
Uspantek
chosen
Uspantek is a Mayan language spoken by the Uspanteko people in the highlands of Guatemala.
-
E.
Jakaltek
Jakaltek is a Mayan language spoken primarily by the Jakaltek (Popti’) people of Guatemala’s western highlands.
- 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_69acce6a1dd48190b17ac5a7cf3ab933 |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:56 p.m.