Triple
T19333071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itsari |
E483544
|
entity |
| Predicate | ISO639Macrolanguage |
P22963
|
FINISHED |
| Object | Dargwa (dar) |
—
|
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: Dargwa (dar) | Statement: [Itsari, ISO639Macrolanguage, Dargwa (dar)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dargwa (dar) Context triple: [Itsari, ISO639Macrolanguage, Dargwa (dar)]
-
A.
Dargwa
chosen
Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
-
B.
Darganata
Darganata is a town in eastern Turkmenistan situated along the Amu Darya River in the Lebap Region.
-
C.
Daraw
Daraw is a town in southern Egypt known historically as a regional trading center, particularly for its camel market, within the Aswan Governorate.
-
D.
Dawro
Dawro is an Omotic language spoken primarily by the Dawro people in southwestern Ethiopia.
-
E.
Dargun
Dargun is a small town in northeastern Germany known for its historic monastery and castle complex set amid the rural lake and hill landscape of Mecklenburg.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61642f49c81909226cfd701f7c139 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.