Triple
T7317678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karkar-Yuri languages |
E168454
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object |
Karkar-Yuri
Karkar-Yuri is a Papuan language spoken on Karkar Island in Papua New Guinea, known for its complex verbal morphology and relatively small speaker community.
|
E656839
|
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: Karkar-Yuri | Statement: [Karkar-Yuri languages, hasMemberLanguage, Karkar-Yuri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karkar-Yuri Context triple: [Karkar-Yuri languages, hasMemberLanguage, Karkar-Yuri]
-
A.
Yakouren
Yakouren is a small town in northern Algeria’s Kabylie region, known for its forested mountain landscapes and Berber (Amazigh) cultural heritage.
-
B.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
C.
Yorii
Yorii is a town in Saitama Prefecture, Japan, known as a regional residential and commuter hub connected to the greater Tokyo area.
-
D.
Yoske
Yoske is a diminutive or affectionate nickname commonly used as a short form of the Hebrew given name Yosef.
-
E.
Shinya
Shinya is a Japanese given name commonly used for males.
- 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: Karkar-Yuri Triple: [Karkar-Yuri languages, hasMemberLanguage, Karkar-Yuri]
Generated description
Karkar-Yuri is a Papuan language spoken on Karkar Island in Papua New Guinea, known for its complex verbal morphology and relatively small speaker community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karkar-Yuri Target entity description: Karkar-Yuri is a Papuan language spoken on Karkar Island in Papua New Guinea, known for its complex verbal morphology and relatively small speaker community.
-
A.
Yakouren
Yakouren is a small town in northern Algeria’s Kabylie region, known for its forested mountain landscapes and Berber (Amazigh) cultural heritage.
-
B.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
C.
Yorii
Yorii is a town in Saitama Prefecture, Japan, known as a regional residential and commuter hub connected to the greater Tokyo area.
-
D.
Yoske
Yoske is a diminutive or affectionate nickname commonly used as a short form of the Hebrew given name Yosef.
-
E.
Shinya
Shinya is a Japanese given name commonly used for males.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef178b3081908cd0c62466069741 |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eef847948190a0f2066008f63efd |
completed | March 28, 2026, 3:08 p.m. |
| NEDg | Description generation | batch_69c7ef6cf4208190b6242aaea1e20b8e |
completed | March 28, 2026, 3:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f01543e8819082bf2dfd49d8fb28 |
completed | March 28, 2026, 3:13 p.m. |
Created at: March 27, 2026, 3:02 p.m.