Triple
T640637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hebrew alphabet |
E16731
|
entity |
| Predicate | usedForLanguage |
P907
|
FINISHED |
| Object | Judeo-Tat |
E6990
|
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: Judeo-Tat | Statement: [Hebrew alphabet, usedForLanguage, Judeo-Tat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judeo-Tat Context triple: [Hebrew alphabet, usedForLanguage, Judeo-Tat]
-
A.
Judeo-Tat
chosen
Judeo-Tat is a Southwest Iranian Jewish language traditionally spoken by Mountain Jews of the eastern Caucasus region.
-
B.
Chuvash
Chuvash are a Turkic ethnic group native to the Volga region of Russia, known for their distinct Chuvash language and culture.
-
C.
Ossetian language
The Ossetian language is an Eastern Iranian language spoken primarily in the Caucasus region of Russia, especially in North and South Ossetia.
-
D.
Gorani
Gorani is a Northwestern Iranian language variety traditionally spoken by Kurdish communities in parts of Iran and Iraq, notable for its rich literary and religious heritage.
-
E.
Seraiki
Seraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49f0189b08190a584b744f36fa761 |
completed | March 1, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5778daa0881908311823d8db543ae |
completed | March 2, 2026, 11:42 a.m. |
Created at: March 1, 2026, 7:35 p.m.