Triple
T5961744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumzari language |
E132653
|
entity |
| Predicate | primarySettlement |
P13187
|
FINISHED |
| Object |
Kumzar
Kumzar is a remote coastal village in northern Oman, known as the main home of the Kumzari-speaking community at the tip of the Musandam Peninsula.
|
E559129
|
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: Kumzar | Statement: [Kumzari language, primarySettlement, Kumzar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kumzar Context triple: [Kumzari language, primarySettlement, Kumzar]
-
A.
Yambu
Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
-
B.
Kumandian
Kumandian is a Turkic ethnic group native to parts of Siberia, particularly in Russia’s Altai region, with its own distinct language and cultural traditions.
-
C.
Mikuma
Mikuma was a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served in World War II and was sunk during the Battle of Midway.
-
D.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
E.
Zemba
Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
- 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: Kumzar Triple: [Kumzari language, primarySettlement, Kumzar]
Generated description
Kumzar is a remote coastal village in northern Oman, known as the main home of the Kumzari-speaking community at the tip of the Musandam Peninsula.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kumzar Target entity description: Kumzar is a remote coastal village in northern Oman, known as the main home of the Kumzari-speaking community at the tip of the Musandam Peninsula.
-
A.
Yambu
Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
-
B.
Kumandian
Kumandian is a Turkic ethnic group native to parts of Siberia, particularly in Russia’s Altai region, with its own distinct language and cultural traditions.
-
C.
Mikuma
Mikuma was a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served in World War II and was sunk during the Battle of Midway.
-
D.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
E.
Zemba
Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039ff421c819085fc92f0b707d31b |
completed | March 22, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3ee20648190badedf60a8bc938b |
completed | March 23, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69c0f8d793ac81908e4ce9f867116b0f |
completed | March 23, 2026, 8:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0f94558688190abd771685afa8ebc |
completed | March 23, 2026, 8:26 a.m. |
Created at: March 22, 2026, 4:02 p.m.