Triple
T19432902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jubb'adin dialect |
E486159
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Jubb'adin |
—
|
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: Jubb'adin | Statement: [Jubb'adin dialect, spokenIn, Jubb'adin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jubb'adin Context triple: [Jubb'adin dialect, spokenIn, Jubb'adin]
-
A.
Jubb'adin
chosen
Jubb'adin is a village in Syria notable as one of the last remaining communities where Western Neo-Aramaic is still spoken.
-
B.
Shuja
Shuja is a given name most notably associated with Shuja Shah Durrani, a 19th-century ruler of the Durrani Empire in Afghanistan.
-
C.
Zubein
Zubein is a variant form of the given name Zubin, which is used as a personal name in various cultures.
-
D.
Al-Chibayish
Al-Chibayish is a town in southern Iraq known for its location within the Mesopotamian Marshes and its traditional Marsh Arab culture.
-
E.
Al-Dhali'
Al-Dhali' is a governorate in southwestern Yemen known for its mountainous terrain and role in the country’s recent political and military conflicts.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6335c2d7481909a44b45d95492e02 |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:37 p.m.