Triple
T2997930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Göklen dialect |
E81115
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Turkmen language |
E16633
|
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: Turkmen language | Statement: [Göklen dialect, partOf, Turkmen language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turkmen language Context triple: [Göklen dialect, partOf, Turkmen language]
-
A.
Turkmen language
chosen
The Turkmen language is a Turkic language spoken primarily in Turkmenistan and surrounding regions, closely related to Turkish and other Oghuz languages.
-
B.
Karakalpak language
The Karakalpak language is a Turkic language spoken primarily by the Karakalpak people in Karakalpakstan, an autonomous republic within Uzbekistan.
-
C.
Crimean Tatar language
The Crimean Tatar language is a Turkic language traditionally spoken by the indigenous Crimean Tatar people of the Crimean Peninsula.
-
D.
Kazakh language
The Kazakh language is a Turkic language spoken primarily in Kazakhstan and surrounding regions, written today mainly in Cyrillic but also in Latin and Arabic scripts.
-
E.
Tajik language
The Tajik language is a variety of Persian spoken primarily in Tajikistan and written in the Cyrillic script.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f612148190a5a565ba2ecc4fc0 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f38a1548190bdddf65853632db1 |
completed | March 12, 2026, 12:56 a.m. |
Created at: March 8, 2026, 2:59 p.m.