Triple
T2051939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalininsko–Solntsevskaya Line |
E45587
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Ramenki
Ramenki is a Moscow Metro station serving the Kalininsko–Solntsevskaya Line in the Ramenki District of western Moscow, Russia.
|
E229098
|
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: Ramenki | Statement: [Kalininsko–Solntsevskaya Line, hasStation, Ramenki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramenki Context triple: [Kalininsko–Solntsevskaya Line, hasStation, Ramenki]
-
A.
Hakata ramen
Hakata ramen is a rich, pork-bone-based Japanese noodle soup style originating from Fukuoka, famed for its creamy tonkotsu broth and thin, firm noodles.
-
B.
Oshiage
Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
-
C.
Ma Kai
Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
-
D.
Tekone-zushi
Tekone-zushi is a regional Japanese dish of marinated raw fish mixed with vinegared rice, traditionally associated with fishermen’s cuisine in Mie Prefecture.
-
E.
Mandu
Mandu is a historic fortified city in central India renowned for its Afghan-era architecture, romantic legends, and scenic hilltop setting.
- 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: Ramenki Triple: [Kalininsko–Solntsevskaya Line, hasStation, Ramenki]
Generated description
Ramenki is a Moscow Metro station serving the Kalininsko–Solntsevskaya Line in the Ramenki District of western Moscow, Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ramenki Target entity description: Ramenki is a Moscow Metro station serving the Kalininsko–Solntsevskaya Line in the Ramenki District of western Moscow, Russia.
-
A.
Hakata ramen
Hakata ramen is a rich, pork-bone-based Japanese noodle soup style originating from Fukuoka, famed for its creamy tonkotsu broth and thin, firm noodles.
-
B.
Oshiage
Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
-
C.
Ma Kai
Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
-
D.
Tekone-zushi
Tekone-zushi is a regional Japanese dish of marinated raw fish mixed with vinegared rice, traditionally associated with fishermen’s cuisine in Mie Prefecture.
-
E.
Mandu
Mandu is a historic fortified city in central India renowned for its Afghan-era architecture, romantic legends, and scenic hilltop setting.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb99078d88190bc30fa4596f0bae8 |
completed | March 7, 2026, 5:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2009951881909d562821fef39c88 |
completed | March 9, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69ae20fbcd30819099499853d7dc2cc4 |
completed | March 9, 2026, 1:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae216d450c8190ad2ecfdafa2354c7 |
completed | March 9, 2026, 1:25 a.m. |
Created at: March 4, 2026, 7:39 p.m.