Triple
T1991263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zamoskvoretskaya Line |
E43255
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Sokol
Sokol is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Sokol District in the north of the city.
|
E222042
|
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: Sokol | Statement: [Zamoskvoretskaya Line, hasStation, Sokol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sokol Context triple: [Zamoskvoretskaya Line, hasStation, Sokol]
-
A.
Sokol Kiev
Sokol Kiev was an ice hockey club from Kyiv that competed at the top level of Soviet hockey in the Soviet Championship League.
-
B.
Atleti
Atleti is the commonly used nickname for Atlético de Madrid, a major Spanish professional football club based in Madrid.
-
C.
Smolikas
Smolikas is a prominent mountain in northern Greece, known as the second-highest peak in the country after Mount Olympus.
-
D.
Klecko
Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
-
E.
Sokar
Sokar is an ancient Egyptian funerary god associated with the Memphite necropolis, the afterlife, and aspects of death and rebirth.
- 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: Sokol Triple: [Zamoskvoretskaya Line, hasStation, Sokol]
Generated description
Sokol is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Sokol District in the north of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sokol Target entity description: Sokol is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Sokol District in the north of the city.
-
A.
Sokol Kiev
Sokol Kiev was an ice hockey club from Kyiv that competed at the top level of Soviet hockey in the Soviet Championship League.
-
B.
Atleti
Atleti is the commonly used nickname for Atlético de Madrid, a major Spanish professional football club based in Madrid.
-
C.
Smolikas
Smolikas is a prominent mountain in northern Greece, known as the second-highest peak in the country after Mount Olympus.
-
D.
Klecko
Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
-
E.
Sokar
Sokar is an ancient Egyptian funerary god associated with the Memphite necropolis, the afterlife, and aspects of death and rebirth.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8451fe8819093531052f4533c36 |
completed | March 7, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0338631c8190a8c7e5177ac473a8 |
completed | March 8, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69ae03d3c3048190bf9c476bea8c4c1e |
completed | March 8, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0480bf9081909ee1ba5d5c805ab3 |
completed | March 8, 2026, 11:21 p.m. |
Created at: March 4, 2026, 7:37 p.m.