Triple
T651298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judeo-Persian |
E11349
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Judeo-Esfahani |
E11349
|
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-Esfahani | Statement: [Judeo-Persian, hasDialect, Judeo-Esfahani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judeo-Esfahani Context triple: [Judeo-Persian, hasDialect, Judeo-Esfahani]
-
A.
Judeo-Persian
chosen
Judeo-Persian is a group of Persian dialects historically spoken and written by Jewish communities in Iran, typically using the Hebrew script and incorporating Hebrew and Aramaic elements.
-
B.
Gilaki
Gilaki is an Iranian language spoken primarily in Iran’s Gilan Province along the Caspian Sea coast.
-
C.
Persian Jews
Persian Jews are a historic Jewish community originating from Iran, known for their distinct Persian language, culture, and religious traditions developed over more than two millennia in the region.
-
D.
Kurmanji
Kurmanji is the most widely spoken dialect of the Kurdish language, used primarily by Kurds across Turkey, Syria, Iraq, Iran, and the diaspora.
-
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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f33b6d881908b6662b73d6fe833 |
completed | March 1, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a58a7391648190916cca6442c5da1a |
completed | March 2, 2026, 1:02 p.m. |
Created at: March 1, 2026, 7:36 p.m.