Triple

T18351806
Position Surface form Disambiguated ID Type / Status
Subject Žižkov E439682 entity
Predicate adjacentTo P224 FINISHED
Object Strašnice NE NERFINISHED

How this triple was built (2 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: Strašnice | Statement: [Žižkov, adjacentTo, Strašnice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strašnice
Context triple: [Žižkov, adjacentTo, Strašnice]
  • A. Plaški
    Plaški is a small town and municipality in central Croatia known for its rural setting and historical ties to the Karlovac region.
  • B. Strašnická chosen
    Strašnická is a Prague Metro station on Line A serving the Strašnice district in the eastern part of the city.
  • C. Horrues
    Horrues is a village in the Walloon region of Belgium that forms part of the municipality of Soignies in the province of Hainaut.
  • D. Scauri
    Scauri is a coastal town in central Italy’s Lazio region, known for its beaches along the Tyrrhenian Sea and its proximity to the Gulf of Gaeta.
  • E. Scaura
    Scaura is the cognomen of Aemilia Scaura, a Roman noblewoman from the influential Aemilii Scauri family.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f8f07c8190a1506d4a327369d0 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 10:37 a.m.