Triple
T16026004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qashqai language |
E388718
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Qashqa’i Turkish |
E1178851
|
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: Qashqa’i Turkish | Statement: [Qashqai language, hasAlternativeName, Qashqa’i Turkish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qashqa’i Turkish Context triple: [Qashqai language, hasAlternativeName, Qashqa’i Turkish]
-
A.
Qashqa’i Turkish
chosen
Qashqa’i Turkish is a Turkic language variety spoken primarily by the Qashqai people of southwestern Iran.
-
B.
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.
-
C.
Turk
Turk is a central character in the "Good Vibes" animated series, known for his laid-back surfer persona and comedic role in the show's coastal teen setting.
-
D.
Turk
Turk is the affable, high-energy surgeon from the television series "Scrubs," known for his close friendship with J.D. and his comedic, dance-loving personality.
-
E.
Turk
A Turk is a member of the Turkic-speaking ethnic group primarily associated with the modern nation of Turkey and its cultural, historical, and linguistic heritage.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1832790548190a74045d554e13328 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf31c8d8819096c562ba1453f3c0 |
completed | May 10, 2026, 12:20 a.m. |
Created at: April 10, 2026, 4:56 a.m.