Triple

T9860327
Position Surface form Disambiguated ID Type / Status
Subject Ulitsa Akademika Yangelya E239692 entity
Predicate adjacentStationTowardsNorth P32736 FINISHED
Object Prazhskaya E292995 NE FINISHED

How this triple was built (3 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: Prazhskaya | Statement: [Ulitsa Akademika Yangelya, adjacentStationTowardsNorth, Prazhskaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prazhskaya
Context triple: [Ulitsa Akademika Yangelya, adjacentStationTowardsNorth, Prazhskaya]
  • A. Prazhskaya chosen
    Prazhskaya is a Moscow Metro station named after Prague, featuring Soviet-era architecture with Czech design influences.
  • B. Prague-Libeň
    Prague-Libeň is a district of Prague, Czech Republic, historically notable as the site of the World War II Operation Anthropoid assassination of Reinhard Heydrich.
  • C. Prague 8
    Prague 8 is a municipal district of Prague that includes a mix of historic neighborhoods and modern residential and commercial areas along the northeastern part of the city.
  • D. Kolín
    Kolín is a historic industrial town and important transport hub on the Elbe River in the Central Bohemian Region of the Czech Republic.
  • E. Prague 7
    Prague 7 is a municipal district of Prague, Czech Republic, known for its residential neighborhoods, parks, and cultural institutions along the Vltava River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: adjacentStationTowardsNorth
Context triple: [Ulitsa Akademika Yangelya, adjacentStationTowardsNorth, Prazhskaya]
  • A. adjacentStationNorth chosen
    Indicates that one station is directly adjacent to another station to its north.
  • B. adjacentStationSouth
    Indicates that one station is directly to the south of another station, with no other station in between.
  • C. adjacentStationWest
    Indicates that one station is immediately to the west of another station in a spatial or network layout.
  • D. adjacentStationOnNorthernLine
    Indicates that one station is directly next to another station along the Northern Line, with no other stations in between.
  • E. adjacentToStation
    Indicates that one entity is located next to or immediately beside a station.
  • F. None of above.

Provenance (4 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3b582cc81909a6d638fe2573c43 completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3170e01408190969fdd8c366f9276 completed April 6, 2026, 2:14 a.m.
PD Predicate disambiguation batch_69cd1d7621d48190aa6a6f34399514b0 completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:35 p.m.