Triple
T17316314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proto-Southern Uto-Aztecan |
E420432
|
entity |
| Predicate | hasDescendant |
P3654
|
FINISHED |
| Object | Proto-Tepiman |
E320996
|
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: Proto-Tepiman | Statement: [Proto-Southern Uto-Aztecan, hasDescendant, Proto-Tepiman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Proto-Tepiman Context triple: [Proto-Southern Uto-Aztecan, hasDescendant, Proto-Tepiman]
-
A.
Tepiman
chosen
Tepiman is a subgroup of Uto-Aztecan languages spoken primarily in the southwestern United States and northern Mexico, including languages such as O'odham and Tepehuán.
-
B.
Proto-Daju
Proto-Daju is the reconstructed ancestral language from which the modern Daju languages, including Daju Mongo, are derived.
-
C.
Tepi
Tepi is a town in southwestern Ethiopia known for its coffee production and location within a lush, forested region.
-
D.
Proto Man
Proto Man is a mysterious, red-helmeted robot from the Mega Man series known for his whistle, shield, and occasional role as both rival and ally to Mega Man.
-
E.
Toyapakeh
Toyapakeh is a renowned dive site off Nusa Penida in Bali, Indonesia, known for its rich coral reefs, clear waters, and diverse marine life including manta rays and mola mola.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399d2fcc81909916302f141e236b |
completed | April 19, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180e8cfd88190a105b778e5b9e864 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:43 a.m.