Triple
T1560364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sochi |
E33306
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Adler District
Adler District is a coastal administrative district of Sochi, Russia, known for hosting key venues of the 2014 Winter Olympics and its resort infrastructure on the Black Sea.
|
E211149
|
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: Adler District | Statement: [Sochi, hasPart, Adler District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adler District Context triple: [Sochi, hasPart, Adler District]
-
A.
Tsuzuki District
Tsuzuki District is a former administrative district that once existed within Kyoto Prefecture in Japan.
-
B.
Seo District
Seo District is a western coastal district of Incheon, South Korea, known for its industrial complexes, port facilities, and growing residential areas.
-
C.
Tempozan district
Tempozan district is a waterfront area in Osaka, Japan, known for attractions such as the Tempozan Ferris Wheel and Osaka Aquarium Kaiyukan.
-
D.
Namba district
Namba district is a major entertainment and shopping area in Osaka, Japan, known for its neon lights, bustling nightlife, and iconic landmarks.
-
E.
Soraku District
Soraku District is a rural administrative district located in the southern part of Kyoto Prefecture, Japan, known for its small towns and agricultural landscapes.
- 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: Adler District Triple: [Sochi, hasPart, Adler District]
Generated description
Adler District is a coastal administrative district of Sochi, Russia, known for hosting key venues of the 2014 Winter Olympics and its resort infrastructure on the Black Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adler District Target entity description: Adler District is a coastal administrative district of Sochi, Russia, known for hosting key venues of the 2014 Winter Olympics and its resort infrastructure on the Black Sea.
-
A.
Tsuzuki District
Tsuzuki District is a former administrative district that once existed within Kyoto Prefecture in Japan.
-
B.
Seo District
Seo District is a western coastal district of Incheon, South Korea, known for its industrial complexes, port facilities, and growing residential areas.
-
C.
Tempozan district
Tempozan district is a waterfront area in Osaka, Japan, known for attractions such as the Tempozan Ferris Wheel and Osaka Aquarium Kaiyukan.
-
D.
Namba district
Namba district is a major entertainment and shopping area in Osaka, Japan, known for its neon lights, bustling nightlife, and iconic landmarks.
-
E.
Soraku District
Soraku District is a rural administrative district located in the southern part of Kyoto Prefecture, Japan, known for its small towns and agricultural landscapes.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90885d6208190b4b7d6ad336d4d16 |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeac0be308190a12ba8e79589dead |
completed | March 8, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69adeb330fe0819096ac927838b6ee2f |
completed | March 8, 2026, 9:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adebb1d7748190b5cd33d163368eae |
completed | March 8, 2026, 9:35 p.m. |
Created at: March 4, 2026, 7:27 p.m.