Triple
T13505032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tk (macrolanguage) |
E320993
|
entity |
| Predicate | hasEndonym |
P1435
|
FINISHED |
| Object | Türkmen dili |
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: Türkmen dili | Statement: [tk (macrolanguage), hasEndonym, Türkmen dili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Türkmen dili Context triple: [tk (macrolanguage), hasEndonym, Türkmen dili]
-
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.
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.
-
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.
Kyrgyz
Kyrgyz is a Turkic language primarily spoken in Kyrgyzstan and surrounding regions of Central Asia.
-
E.
Turk
Turk is an American rapper best known as a member of the New Orleans hip hop group the Hot Boys alongside Lil Wayne, Juvenile, and B.G.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf810e248190a060481004503f96 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b05c844c8190bb4b72d2400a6355 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 9:43 p.m.