Triple
T4589836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Horn Bay |
E103455
|
entity |
| Predicate | RussianName |
P744
|
FINISHED |
| Object |
Золотой Рог
Золотой Рог — это бухта в Японском море у берегов Владивостока, являющаяся важным морским портом и одной из главных достопримечательностей города.
|
E455011
|
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: Золотой Рог | Statement: [Golden Horn Bay, RussianName, Золотой Рог]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Золотой Рог Context triple: [Golden Horn Bay, RussianName, Золотой Рог]
-
A.
Zoloti Vorota
Zoloti Vorota is a Kyiv Metro station renowned for its ornate, cathedral-like interior inspired by Kyivan Rus’ architecture and history.
-
B.
Горки
Горки — это населённый пункт в Московской области России, известный как один из подмосковных посёлков с дачными и жилыми зонами.
-
C.
Mishenka
Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
-
D.
Lastochka
Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
-
E.
Kalach-na-Donu
Kalach-na-Donu is a town in Volgograd Oblast, Russia, historically significant as a World War II battleground and located near the strategic waterway linking the Volga and Don rivers.
- 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: Золотой Рог Triple: [Golden Horn Bay, RussianName, Золотой Рог]
Generated description
Золотой Рог — это бухта в Японском море у берегов Владивостока, являющаяся важным морским портом и одной из главных достопримечательностей города.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Золотой Рог Target entity description: Золотой Рог — это бухта в Японском море у берегов Владивостока, являющаяся важным морским портом и одной из главных достопримечательностей города.
-
A.
Zoloti Vorota
Zoloti Vorota is a Kyiv Metro station renowned for its ornate, cathedral-like interior inspired by Kyivan Rus’ architecture and history.
-
B.
Горки
Горки — это населённый пункт в Московской области России, известный как один из подмосковных посёлков с дачными и жилыми зонами.
-
C.
Mishenka
Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
-
D.
Lastochka
Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
-
E.
Kalach-na-Donu
Kalach-na-Donu is a town in Volgograd Oblast, Russia, historically significant as a World War II battleground and located near the strategic waterway linking the Volga and Don rivers.
- 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_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd592232888190af33c47636ca835d |
completed | March 20, 2026, 2:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde0c1a7848190ac1e17fba6325593 |
completed | March 21, 2026, 12:05 a.m. |
| NEDg | Description generation | batch_69bde3078588819099b16bfc11330815 |
completed | March 21, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bde394bd0081908417cc0a926a16dd |
completed | March 21, 2026, 12:17 a.m. |
Created at: March 20, 2026, 1:11 p.m.