Triple
T16668685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luzhniki Metro Bridge |
E405048
|
entity |
| Predicate | connectsStation |
P845
|
FINISHED |
| Object |
Sportivnaya
Sportivnaya is a Moscow Metro station located near the Luzhniki sports complex, serving as a key access point to major athletic and event venues in the city.
|
E1227774
|
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: Sportivnaya | Statement: [Luzhniki Metro Bridge, connectsStation, Sportivnaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sportivnaya Context triple: [Luzhniki Metro Bridge, connectsStation, Sportivnaya]
-
A.
Sporting
Sporting is the commonly used short name for Sporting Kansas City, a professional Major League Soccer club based in the Kansas City metropolitan area.
-
B.
Sporting
Sporting is a major Portuguese sports club best known for its professional football team, Sporting Clube de Portugal, based in Lisbon.
-
C.
Sporting
Sporting is a Spanish professional football club based in Gijón, Asturias, known for its passionate fan base and history in La Liga.
-
D.
Sportiva
Sportiva is a tire brand owned by Continental AG, offering budget-friendly tires for everyday driving needs.
-
E.
Sport S
Sport S is a mid-level trim package for the Jeep Gladiator that adds enhanced comfort, convenience, and appearance features over the base model.
- 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: Sportivnaya Triple: [Luzhniki Metro Bridge, connectsStation, Sportivnaya]
Generated description
Sportivnaya is a Moscow Metro station located near the Luzhniki sports complex, serving as a key access point to major athletic and event venues in the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sportivnaya Target entity description: Sportivnaya is a Moscow Metro station located near the Luzhniki sports complex, serving as a key access point to major athletic and event venues in the city.
-
A.
Sporting
Sporting is the commonly used short name for Sporting Kansas City, a professional Major League Soccer club based in the Kansas City metropolitan area.
-
B.
Sporting
Sporting is a major Portuguese sports club best known for its professional football team, Sporting Clube de Portugal, based in Lisbon.
-
C.
Sporting
Sporting is a Spanish professional football club based in Gijón, Asturias, known for its passionate fan base and history in La Liga.
-
D.
Sportiva
Sportiva is a tire brand owned by Continental AG, offering budget-friendly tires for everyday driving needs.
-
E.
Sport S
Sport S is a mid-level trim package for the Jeep Gladiator that adds enhanced comfort, convenience, and appearance features over the base model.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37c9e9a208190afab499897ce4361 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a34852c81908c00ff8e36923cee |
completed | May 10, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a008abfcb4481908efb8a1cb3c0086e |
completed | May 10, 2026, 1:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008b55b28c8190bb2d63c7fe0db2cc |
completed | May 10, 2026, 1:42 p.m. |
Created at: April 10, 2026, 5:18 a.m.