Triple
T1946816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Circle Line |
E42071
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Maryina Roshcha
Maryina Roshcha is a Moscow Metro station on the Big Circle Line serving the Maryina Roshcha district in Russia’s capital.
|
E218149
|
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: Maryina Roshcha | Statement: [Big Circle Line, hasStation, Maryina Roshcha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maryina Roshcha Context triple: [Big Circle Line, hasStation, Maryina Roshcha]
-
A.
Tyrnyauz
Tyrnyauz is a mountainous town in southwestern Russia known for its former tungsten-molybdenum mining industry and location in the North Caucasus.
-
B.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
C.
Kuchlak
Kuchlak is a town in Balochistan, Pakistan, situated near Quetta and known as a local commercial and transit hub in the region.
-
D.
Orzola
Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
-
E.
Khoni
Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural 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: Maryina Roshcha Triple: [Big Circle Line, hasStation, Maryina Roshcha]
Generated description
Maryina Roshcha is a Moscow Metro station on the Big Circle Line serving the Maryina Roshcha district in Russia’s capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maryina Roshcha Target entity description: Maryina Roshcha is a Moscow Metro station on the Big Circle Line serving the Maryina Roshcha district in Russia’s capital.
-
A.
Tyrnyauz
Tyrnyauz is a mountainous town in southwestern Russia known for its former tungsten-molybdenum mining industry and location in the North Caucasus.
-
B.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
C.
Kuchlak
Kuchlak is a town in Balochistan, Pakistan, situated near Quetta and known as a local commercial and transit hub in the region.
-
D.
Orzola
Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
-
E.
Khoni
Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural 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_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.