Triple

T25126764
Position Surface form Disambiguated ID Type / Status
Subject Sector 5, Bucharest E629414 entity
Predicate hasParliamentBuildingOf P8998 FINISHED
Object Romania 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: Romania | Statement: [Sector 5, Bucharest, hasParliamentBuildingOf, Romania]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasParliamentBuildingOf
Context triple: [Sector 5, Bucharest, hasParliamentBuildingOf, Romania]
  • A. hasLegislatureBuilding chosen
    Indicates that one entity serves as the official legislature building or physical premises where the legislative body of another entity meets or operates.
  • B. hasMunicipalPalaceIn
    Indicates that a municipality possesses or is associated with a municipal palace located in the specified place.
  • C. capitalCityBuildingOf
    Indicates that a building is located in and associated with the capital city of a given political or administrative entity.
  • D. seatOfPowerLocatedIn
    Indicates that the primary governing authority or central power base of an entity is situated within a specified location.
  • E. hasMonumentInCenter
    Indicates that a place or area has a monument located at its central point or main focal area.
  • F. None of above.

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_69e2ff3288048190bd82c3b7f7bd0e62 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f627aedf548190bc9f53c8a2d67b50 completed May 2, 2026, 4:34 p.m.
PD Predicate disambiguation batch_69f623a4e1048190bbb8dd1253fdcee9 completed May 2, 2026, 4:17 p.m.
Created at: April 18, 2026, 6:28 a.m.