Triple
T2381753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tat language |
E46325
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Talysh language |
E93953
|
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: Talysh language | Statement: [Tat language, relatedTo, Talysh language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talysh language Context triple: [Tat language, relatedTo, Talysh language]
-
A.
Talysh
chosen
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.
-
B.
Achomi language
Achomi language is a Southwestern Iranian language spoken primarily by the Achomi people in southern Iran and parts of the Persian Gulf region.
-
C.
Lezgian
Lezgian is a Northeast Caucasian language spoken primarily by the Lezgin people in southern Dagestan and northern Azerbaijan.
-
D.
Crimean Tatar language
The Crimean Tatar language is a Turkic language traditionally spoken by the indigenous Crimean Tatar people of the Crimean Peninsula.
-
E.
Dargin
Dargin is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan in Russia.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7b98c988190abdb4fe51bf65bde |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8b4f85c81909e5a4eda271b73ca |
completed | March 9, 2026, 11:02 a.m. |
Created at: March 4, 2026, 7:57 p.m.