Triple
T10490447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kunama languages |
E247402
|
entity |
| Predicate | ISO639-3Code |
P208
|
FINISHED |
| Object |
kun (macro-language)
Kun (macro-language) is an ISO 639-3 macrolanguage code that collectively represents the Kunama languages spoken primarily in parts of Eritrea and neighboring regions.
|
E867525
|
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: kun (macro-language) | Statement: [Kunama languages, ISO639-3Code, kun (macro-language)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: kun (macro-language) Context triple: [Kunama languages, ISO639-3Code, kun (macro-language)]
-
A.
KUN
KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
-
B.
KÜN
KÜN is the vehicle registration code for the German district of Hohenlohekreis in the state of Baden-Württemberg.
-
C.
Kun
Kun is an alternative name for the Cumans, a historically significant nomadic Turkic people who roamed the Eurasian steppes during the Middle Ages.
-
D.
Kun
Kun is a prominent high-altitude mountain peak in the Indian Himalayas, known as one of the major summits of the Nun-Kun massif in the Ladakh region.
-
E.
KLEX
KLEX is the ICAO airport code for Blue Grass Airport, a public airport serving Lexington, Kentucky, in the United States.
- 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: kun (macro-language) Triple: [Kunama languages, ISO639-3Code, kun (macro-language)]
Generated description
Kun (macro-language) is an ISO 639-3 macrolanguage code that collectively represents the Kunama languages spoken primarily in parts of Eritrea and neighboring regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: kun (macro-language) Target entity description: Kun (macro-language) is an ISO 639-3 macrolanguage code that collectively represents the Kunama languages spoken primarily in parts of Eritrea and neighboring regions.
-
A.
KUN
KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
-
B.
KÜN
KÜN is the vehicle registration code for the German district of Hohenlohekreis in the state of Baden-Württemberg.
-
C.
Kun
Kun is an alternative name for the Cumans, a historically significant nomadic Turkic people who roamed the Eurasian steppes during the Middle Ages.
-
D.
Kun
Kun is a prominent high-altitude mountain peak in the Indian Himalayas, known as one of the major summits of the Nun-Kun massif in the Ladakh region.
-
E.
KLEX
KLEX is the ICAO airport code for Blue Grass Airport, a public airport serving Lexington, Kentucky, in the United States.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097d61e08190952d4354ef1bce52 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc9792308190b09d6aaed63dd418 |
completed | April 10, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69d8e8c81bdc8190b6b6dfe00025b514 |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901ef24608190934377d9dc855d6f |
completed | April 10, 2026, 1:58 p.m. |
Created at: April 6, 2026, 12:23 p.m.