Triple
T10127382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common Turkic branch |
E226248
|
entity |
| Predicate | includesLanguage |
P2177
|
FINISHED |
| Object | Qashqai |
E79003
|
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: Qashqai | Statement: [Common Turkic branch, includesLanguage, Qashqai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qashqai Context triple: [Common Turkic branch, includesLanguage, Qashqai]
-
A.
Qashqai
chosen
Qashqai is a Turkic language variety spoken primarily by the Qashqai people in southwestern Iran, closely related to Azerbaijani.
-
B.
Nissan Qashqai
The Nissan Qashqai is a compact crossover SUV popular for its practical size, fuel efficiency, and family-friendly versatility, especially in European markets.
-
C.
Škoda Kamiq
The Škoda Kamiq is a subcompact crossover SUV produced by Czech automaker Škoda Auto, positioned as an urban-focused, practical, and well-equipped entry in the brand’s SUV lineup.
-
D.
Azuga
Azuga is a small mountain resort town in Romania known for its ski slopes and scenic location in the Carpathian Mountains.
-
E.
Renault Alaskan
The Renault Alaskan is a mid-size pickup truck developed by Renault, based heavily on the Nissan Navara platform and aimed at both commercial and lifestyle markets.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd2eef7388190b95ffd02814f2d1f |
completed | April 2, 2026, 2:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc69a5c88190ab7b108e1aab20ba |
completed | April 5, 2026, 8:56 p.m. |
Created at: March 30, 2026, 9:05 p.m.