Triple
T1067646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Pérouse Strait |
E23248
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Proliv Soyya
Proliv Soyya is the Russian name for the La Pérouse Strait, a narrow sea passage separating the Japanese island of Hokkaido from Russia’s Sakhalin Island.
|
E124720
|
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: Proliv Soyya | Statement: [La Pérouse Strait, alsoKnownAs, Proliv Soyya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Proliv Soyya Context triple: [La Pérouse Strait, alsoKnownAs, Proliv Soyya]
-
A.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
B.
Ihnasya
Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
-
C.
Yalli
Yalli is a traditional Azerbaijani group folk dance characterized by dancers holding hands or shoulders and moving in synchronized circular or linear formations.
-
D.
Yuri
Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
-
E.
Soral
Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
- 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: Proliv Soyya Triple: [La Pérouse Strait, alsoKnownAs, Proliv Soyya]
Generated description
Proliv Soyya is the Russian name for the La Pérouse Strait, a narrow sea passage separating the Japanese island of Hokkaido from Russia’s Sakhalin Island.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Proliv Soyya Target entity description: Proliv Soyya is the Russian name for the La Pérouse Strait, a narrow sea passage separating the Japanese island of Hokkaido from Russia’s Sakhalin Island.
-
A.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
B.
Ihnasya
Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
-
C.
Yalli
Yalli is a traditional Azerbaijani group folk dance characterized by dancers holding hands or shoulders and moving in synchronized circular or linear formations.
-
D.
Yuri
Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
-
E.
Soral
Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b911f06881908659cb85ba1e05e0 |
completed | March 1, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42a51c208190a9a603100ed7f5dc |
completed | March 7, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69ac431f9ebc81908bcc9b259b2e47a8 |
completed | March 7, 2026, 3:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac43a2a294819095cf58c39118389f |
completed | March 7, 2026, 3:26 p.m. |
Created at: March 1, 2026, 7:42 p.m.