Triple

T20168348
Position Surface form Disambiguated ID Type / Status
Subject Central Bratislava E491885 entity
Predicate nearPublicTransportStop P35768 FINISHED
Object Metodova
Metodova is a street in central Bratislava known for its convenient access to public transportation and nearby urban amenities.
E1414383 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: Metodova | Statement: [Central Bratislava, nearPublicTransportStop, Metodova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metodova
Context triple: [Central Bratislava, nearPublicTransportStop, Metodova]
  • A. Markovich
    Markovich is a surname of Slavic origin, commonly found in Eastern European and Jewish communities.
  • B. Smidovich
    Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
  • C. Matei
    Matei is a small coastal village on the island of Taveuni in Fiji, known for its airport and access to nearby resorts and natural attractions.
  • D. Mickoski
    Mickoski is a Macedonian surname most prominently associated with Hristijan Mickoski, a leading politician in North Macedonia.
  • E. Janus Dousa
    Janus Dousa was a 16th-century Dutch statesman, humanist scholar, poet, and the first librarian of Leiden University, known for his role in the Dutch Revolt and contributions to classical studies.
  • 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: Metodova
Triple: [Central Bratislava, nearPublicTransportStop, Metodova]
Generated description
Metodova is a street in central Bratislava known for its convenient access to public transportation and nearby urban amenities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Metodova
Target entity description: Metodova is a street in central Bratislava known for its convenient access to public transportation and nearby urban amenities.
  • A. Markovich
    Markovich is a surname of Slavic origin, commonly found in Eastern European and Jewish communities.
  • B. Smidovich
    Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
  • C. Matei
    Matei is a small coastal village on the island of Taveuni in Fiji, known for its airport and access to nearby resorts and natural attractions.
  • D. Mickoski
    Mickoski is a Macedonian surname most prominently associated with Hristijan Mickoski, a leading politician in North Macedonia.
  • E. Janus Dousa
    Janus Dousa was a 16th-century Dutch statesman, humanist scholar, poet, and the first librarian of Leiden University, known for his role in the Dutch Revolt and contributions to classical studies.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66845cb588190820c50eea0c40d83 completed April 20, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a083482950c8190aff6eb232ebbdd79 completed May 16, 2026, 9:10 a.m.
NEDg Description generation batch_6a08354678488190a04794496edc4333 completed May 16, 2026, 9:13 a.m.
NED2 Entity disambiguation (via description) batch_6a08360def9c8190b8a2d48814ee13c8 completed May 16, 2026, 9:17 a.m.
Created at: April 11, 2026, 11:35 p.m.