Triple
T879321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juhurim |
E18991
|
entity |
| Predicate | nativeLanguage |
P151
|
FINISHED |
| Object | Juhuri |
E18991
|
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: Juhuri | Statement: [Juhurim, nativeLanguage, Juhuri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juhuri Context triple: [Juhurim, nativeLanguage, Juhuri]
-
A.
Juhurim
chosen
Juhurim are a Jewish ethnic group from the eastern and northern Caucasus, particularly Dagestan and Azerbaijan, with their own distinct language (Juhuri) and cultural traditions.
-
B.
Jaakko
Jaakko is a Finnish given name, equivalent to the English name James.
-
C.
Selke
The Selke is a river in central Germany that flows through the Harz Mountains and Saxony-Anhalt, known for its scenic valleys and historic towns along its course.
-
D.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
E.
Terjola
Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acc9d5f4819087afbb75b6ac3dbf |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c01d1a7081909da3d8b2aadaed6f |
completed | March 4, 2026, 5:16 a.m. |
Created at: March 1, 2026, 7:39 p.m.