Triple
T1946810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Circle Line |
E42071
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Lefortovo
Lefortovo is a Moscow Metro station on the Big Circle Line serving the historic Lefortovo district of Russia’s capital.
|
E218144
|
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: Lefortovo | Statement: [Big Circle Line, hasStation, Lefortovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lefortovo Context triple: [Big Circle Line, hasStation, Lefortovo]
-
A.
Karlov
Karlov is a historic university campus complex in Prague that houses several faculties of Charles University, particularly in the medical and natural sciences.
-
B.
Metelkova City
Metelkova City is an autonomous cultural and social center in Ljubljana, Slovenia, known for its alternative art scene, vibrant nightlife, and politically engaged community.
-
C.
Lübars
Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
-
D.
Borna
Borna is a town in the German state of Saxony that serves as an administrative and economic center in the Leipzig region.
-
E.
Lazarevac
Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
- 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: Lefortovo Triple: [Big Circle Line, hasStation, Lefortovo]
Generated description
Lefortovo is a Moscow Metro station on the Big Circle Line serving the historic Lefortovo district of Russia’s capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lefortovo Target entity description: Lefortovo is a Moscow Metro station on the Big Circle Line serving the historic Lefortovo district of Russia’s capital.
-
A.
Karlov
Karlov is a historic university campus complex in Prague that houses several faculties of Charles University, particularly in the medical and natural sciences.
-
B.
Metelkova City
Metelkova City is an autonomous cultural and social center in Ljubljana, Slovenia, known for its alternative art scene, vibrant nightlife, and politically engaged community.
-
C.
Lübars
Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
-
D.
Borna
Borna is a town in the German state of Saxony that serves as an administrative and economic center in the Leipzig region.
-
E.
Lazarevac
Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb32ebae881908f7541301f0198ae |
completed | March 7, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbbf724081909b24680d483edbd1 |
completed | March 8, 2026, 10:44 p.m. |
| NEDg | Description generation | batch_69adfc6aa96c81909ae3cff6c7ab7f79 |
completed | March 8, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfcebbc808190a74f9082636bce11 |
completed | March 8, 2026, 10:49 p.m. |
Created at: March 4, 2026, 7:36 p.m.