Triple
T3001239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judeo-Iranian languages |
E81791
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Judeo-Hamedani |
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-Hamedani | Statement: [Judeo-Iranian languages, hasPart, Judeo-Hamedani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judeo-Hamedani Context triple: [Judeo-Iranian languages, hasPart, Judeo-Hamedani]
-
A.
Judeo-Kermani
Judeo-Kermani is a Jewish dialect of Persian traditionally spoken by Jewish communities from the Kerman region of Iran.
-
B.
Kurmanji
Kurmanji is the most widely spoken dialect of the Kurdish language, used primarily by Kurds across Turkey, Syria, Iraq, Iran, and the diaspora.
-
C.
Nabulsi
Nabulsi refers to a person or thing originating from the city of Nablus in the West Bank, often associated with its distinctive cheese and traditional soap.
-
D.
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.
-
E.
Gilaki
Gilaki is an Iranian language spoken primarily in Iran’s Gilan Province along the Caspian Sea coast.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a1022e48190afee77db94635ff2 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e4b54188190bf900bf10061a57a |
completed | March 11, 2026, 8:56 a.m. |
Created at: March 8, 2026, 2:59 p.m.