Triple
T17274169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khinalug language |
E419341
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Kinalug
Kinalug is a highly endangered Northeast Caucasian language spoken by the Khinalug people in a single mountain village in northern Azerbaijan.
|
E1260701
|
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: Kinalug | Statement: [Khinalug language, hasAlternativeName, Kinalug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinalug Context triple: [Khinalug language, hasAlternativeName, Kinalug]
-
A.
Kalaong
Kalaong is a barangay (village-level administrative division) of the municipality of Maitum in the province of Sarangani, Philippines.
-
B.
Kapyong
Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
-
C.
Lunang
Lunang is a district-level area within Indonesia’s Pesisir Selatan Regency in West Sumatra, known for its rural coastal and agricultural landscape.
-
D.
Dinalungan
Dinalungan is a coastal municipality in the province of Aurora in the Philippines, known for its rural landscapes and Pacific shoreline.
-
E.
Lugau
Lugau is a town in Saxony, Germany, historically shaped by coal mining in the Ore Mountains region.
- 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: Kinalug Triple: [Khinalug language, hasAlternativeName, Kinalug]
Generated description
Kinalug is a highly endangered Northeast Caucasian language spoken by the Khinalug people in a single mountain village in northern Azerbaijan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kinalug Target entity description: Kinalug is a highly endangered Northeast Caucasian language spoken by the Khinalug people in a single mountain village in northern Azerbaijan.
-
A.
Kalaong
Kalaong is a barangay (village-level administrative division) of the municipality of Maitum in the province of Sarangani, Philippines.
-
B.
Kapyong
Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
-
C.
Lunang
Lunang is a district-level area within Indonesia’s Pesisir Selatan Regency in West Sumatra, known for its rural coastal and agricultural landscape.
-
D.
Dinalungan
Dinalungan is a coastal municipality in the province of Aurora in the Philippines, known for its rural landscapes and Pacific shoreline.
-
E.
Lugau
Lugau is a town in Saxony, Germany, historically shaped by coal mining in the Ore Mountains region.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4c209c81909c713ed78f2cb19a |
completed | April 19, 2026, 1:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01794f6cf481909d76e3d61f9888c5 |
completed | May 11, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_6a017b5abdc481909832a6e46d21b34b |
completed | May 11, 2026, 6:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a017bcf8a6081908922f5ef2673abae |
completed | May 11, 2026, 6:48 a.m. |
Created at: April 10, 2026, 5:40 a.m.