Triple
T14175061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Havasupai–Walapai–Yavapai |
E351310
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Havasupai language |
E13898
|
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: Havasupai language | Statement: [Havasupai–Walapai–Yavapai, hasMember, Havasupai language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Havasupai language Context triple: [Havasupai–Walapai–Yavapai, hasMember, Havasupai language]
-
A.
Havasupai–Hualapai language
chosen
The Havasupai–Hualapai language is an indigenous Yuman language spoken by the Havasupai and Hualapai peoples of northwestern Arizona.
-
B.
Walapai language
The Walapai language is a Native American language of the Yuman family traditionally spoken by the Hualapai people of northwestern Arizona.
-
C.
Kumbewaha language
The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
-
D.
Hupa language
The Hupa language is an Athabaskan language traditionally spoken by the Hupa people of northwestern California.
-
E.
Yavapai language
The Yavapai language is an indigenous Native American language traditionally spoken by the Yavapai people of central and western Arizona.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b7cc3081909f4fa371e1eae130 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf80cdae88190ae987b49218c281d |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 1:02 a.m.