Triple
T633037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azerbaijani language |
E15962
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Qashqai
Qashqai is a Turkic language variety spoken primarily by the Qashqai people in southwestern Iran, closely related to Azerbaijani.
|
E79003
|
NE FINISHED |
How this triple was built (4 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: [Azerbaijani language, hasDialect, Qashqai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qashqai Context triple: [Azerbaijani language, hasDialect, Qashqai]
-
A.
Renault Master
The Renault Master is a large light commercial van produced by the French manufacturer Renault, widely used in Europe for cargo and passenger transport.
-
B.
Fiat Ducato
The Fiat Ducato is a popular light commercial van produced by Fiat, widely used across Europe for cargo transport, camper conversions, and other utility purposes.
-
C.
Isuzu
Isuzu is a Japanese automotive manufacturer best known for producing commercial vehicles, pickup trucks, and diesel engines for global markets.
-
D.
Jeep
Jeep is an American automotive marque best known for its rugged sport utility vehicles and off-road capable 4x4s.
-
E.
Baojun RC-6
The Baojun RC-6 is a mid-size fastback-style sedan produced by the Chinese automaker Baojun, positioned as an affordable, tech-focused family car.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Qashqai Triple: [Azerbaijani language, hasDialect, Qashqai]
Generated description
Qashqai is a Turkic language variety spoken primarily by the Qashqai people in southwestern Iran, closely related to Azerbaijani.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Qashqai Target entity description: Qashqai is a Turkic language variety spoken primarily by the Qashqai people in southwestern Iran, closely related to Azerbaijani.
-
A.
Renault Master
The Renault Master is a large light commercial van produced by the French manufacturer Renault, widely used in Europe for cargo and passenger transport.
-
B.
Fiat Ducato
The Fiat Ducato is a popular light commercial van produced by Fiat, widely used across Europe for cargo transport, camper conversions, and other utility purposes.
-
C.
Isuzu
Isuzu is a Japanese automotive manufacturer best known for producing commercial vehicles, pickup trucks, and diesel engines for global markets.
-
D.
Jeep
Jeep is an American automotive marque best known for its rugged sport utility vehicles and off-road capable 4x4s.
-
E.
Baojun RC-6
The Baojun RC-6 is a mid-size fastback-style sedan produced by the Chinese automaker Baojun, positioned as an affordable, tech-focused family car.
- F. None of above. chosen
Provenance (5 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ec3b6488190aa0dce216c089a2e |
completed | March 1, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56c4efbe08190aadee9964901a368 |
completed | March 2, 2026, 10:54 a.m. |
| NEDg | Description generation | batch_69a56ccb53408190a4ddc62c15ed206b |
completed | March 2, 2026, 10:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a56d236e388190b0ff9a6b8c296e2d |
completed | March 2, 2026, 10:57 a.m. |
Created at: March 1, 2026, 7:35 p.m.