Triple
T16867476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Káⁿza |
E410079
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Kaw |
E14750
|
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: Kaw | Statement: [Káⁿza, alternateName, Kaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaw Context triple: [Káⁿza, alternateName, Kaw]
-
A.
Kaw
chosen
The Kaw, also known as the Kansa, are a Native American tribe originally from the central Midwestern United States, particularly the region that is now Kansas.
-
B.
Kawa
Kawa is a programming language framework that compiles Scheme and other high-level languages to Java bytecode for execution on the Java Virtual Machine.
-
C.
Kawa
Kawa is an indigenous subgroup of the Waic people, known for its distinct cultural and linguistic identity within this broader ethnic group.
-
D.
Kanas River
Kanas River is a scenic mountain river in China’s Xinjiang region, known for its turquoise waters, surrounding forests, and role in feeding the famous Kanas Lake.
-
E.
Kura
Kura is a town and local government area in northern Nigeria’s Kano State, known primarily for its role in regional agriculture and trade.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b50983148190a116f7e7017ccb1c |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01413843ec8190b4205aa5fdce28e5 |
completed | May 11, 2026, 2:38 a.m. |
Created at: April 10, 2026, 5:24 a.m.