Triple
T16579056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Javanic languages |
E402790
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Kawi language |
E88318
|
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: Kawi language | Statement: [Javanic languages, hasMember, Kawi language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kawi language Context triple: [Javanic languages, hasMember, Kawi language]
-
A.
Kawi language
chosen
Kawi language is an Old Javanese literary and liturgical language of ancient Indonesia, historically used in inscriptions and classical texts across the region.
-
B.
Waka language
Waka language is a lesser-known Afro-Asiatic language spoken in parts of Nigeria, belonging to the Duru branch of the Adamawa languages.
-
C.
Kayabí language
The Kayabí language is an indigenous Tupian language spoken by the Kayabí people of Brazil, known for its role in preserving their cultural and linguistic heritage.
-
D.
Makasae language
The Makasae language is a Papuan language spoken primarily in the eastern part of Timor-Leste by the Makasae people.
-
E.
Kawaiisu language
Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3595f9be88190b01ba628ecf1103d |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006eee7e4881908a529717bc449078 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.