Triple
T23396449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitsai language |
E559371
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Kitsai |
—
|
NE NERFINISHED |
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: Kitsai | Statement: [Kitsai language, alternateName, Kitsai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitsai Context triple: [Kitsai language, alternateName, Kitsai]
-
A.
Kitsai
chosen
Kitsai is an extinct Caddoan language once spoken by the Kichai people of what is now the south-central United States.
-
B.
Kagee
Kagee is the former name of Chiayi City, a historic urban center in southwestern Taiwan.
-
C.
Kachura
Kachura is a small village in the Skardu region of Gilgit-Baltistan, Pakistan, known for its proximity to the scenic Upper and Lower Kachura Lakes in the Karakoram Mountains.
-
D.
Koga
Koga is a prominent wolf-demon leader and recurring ally-rival character in the anime and manga series Inuyasha.
-
E.
Koga
Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4dc48008190bdcf92f8d9a5232d |
completed | April 29, 2026, 6:27 a.m. |
Created at: April 17, 2026, 5:36 p.m.