Triple
T6456027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matua |
E141994
|
entity |
| Predicate | hasNameInRussian |
P20560
|
FINISHED |
| Object |
Матуа
Матуа — это вулканический остров в центральной части Курильской гряды, известный своим действующим вулканом Сарычева и стратегическим военным значением.
|
E593498
|
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: Матуа | Statement: [Matua, hasNameInRussian, Матуа]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Матуа Context triple: [Matua, hasNameInRussian, Матуа]
-
A.
Masaru
Masaru is a Japanese given name commonly used for males and borne by various notable figures in fields such as technology, sports, and entertainment.
-
B.
Yasu
Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
-
C.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
D.
Mantoro
Mantoro is a traditional Japanese lantern festival held at Kasuga Taisha Shrine in Nara, where thousands of stone and hanging lanterns are lit to create a spectacular nighttime illumination.
-
E.
Maseo
Maseo is the DJ and producer of the influential hip hop group De La Soul, known for his role in shaping their innovative, sample-rich sound.
- 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: Матуа Triple: [Matua, hasNameInRussian, Матуа]
Generated description
Матуа — это вулканический остров в центральной части Курильской гряды, известный своим действующим вулканом Сарычева и стратегическим военным значением.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Матуа Target entity description: Матуа — это вулканический остров в центральной части Курильской гряды, известный своим действующим вулканом Сарычева и стратегическим военным значением.
-
A.
Masaru
Masaru is a Japanese given name commonly used for males and borne by various notable figures in fields such as technology, sports, and entertainment.
-
B.
Yasu
Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
-
C.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
D.
Mantoro
Mantoro is a traditional Japanese lantern festival held at Kasuga Taisha Shrine in Nara, where thousands of stone and hanging lanterns are lit to create a spectacular nighttime illumination.
-
E.
Maseo
Maseo is the DJ and producer of the influential hip hop group De La Soul, known for his role in shaping their innovative, sample-rich sound.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069d4d588819090e8a56c46c0bfe9 |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bdc4e808190a7c24b963ab0aa30 |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64ce18f6c8190910dcc2fc553328e |
completed | March 27, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64db784f08190b786c4de051ee527 |
completed | March 27, 2026, 9:28 a.m. |
Created at: March 22, 2026, 4:48 p.m.