Triple
T2186294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sūrāyē |
E49159
|
entity |
| Predicate | modernSpokenLanguagesInclude |
P741
|
FINISHED |
| Object | Turoyo |
E105663
|
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: Turoyo | Statement: [Sūrāyē, modernSpokenLanguagesInclude, Turoyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turoyo Context triple: [Sūrāyē, modernSpokenLanguagesInclude, Turoyo]
-
A.
Turoyo
chosen
Turoyo is a modern Neo-Aramaic language traditionally spoken by Syriac Orthodox Christian communities from the Tur Abdin region of southeastern Turkey and neighboring areas.
-
B.
Talysh
The Talysh are an Iranian ethnic group primarily inhabiting the southwestern coast of the Caspian Sea in northern Iran and southeastern Azerbaijan, with their own distinct Talysh language and cultural traditions.
-
C.
Turiysk
Turiysk is a small town in western Ukraine known for its historical roots and location within the Volyn region.
-
D.
Seraiki
Seraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
-
E.
Tosk
Tosk is the southern variety of Albanian that forms the basis of the standard Albanian language.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc5b101d48190a321625720d537b6 |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5dab44008190aeb4f77b73db2b36 |
completed | March 9, 2026, 5:42 a.m. |
Created at: March 4, 2026, 7:45 p.m.