Triple

T17368684
Position Surface form Disambiguated ID Type / Status
Subject Ruzyně E422250 entity
Predicate locatedNear P294 FINISHED
Object Liboc E968101 NE FINISHED

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: Liboc | Statement: [Ruzyně, locatedNear, Liboc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liboc
Context triple: [Ruzyně, locatedNear, Liboc]
  • A. Liboc chosen
    Liboc is a residential district in the western part of Prague known for its green spaces and proximity to the Divoká Šárka nature reserve.
  • B. Labici
    Labici was an ancient town of Latium in central Italy, historically associated with the Latin League and later absorbed into the Roman sphere.
  • C. Likoc
    Likoc is a village-level settlement within the municipality of Skenderaj in Kosovo.
  • D. Olewig
    Olewig is a district of the German city of Trier, known for its wine-growing tradition and scenic location along the Moselle.
  • E. Libolo
    Libolo is a municipality located in Angola’s Cuanza Sul Province, known for its rural communities and agricultural activities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6790448190a24047523a019f81 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019566da6c819083b59e0911d02bd5 completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.