Triple

T19828070
Position Surface form Disambiguated ID Type / Status
Subject Green Bridge in Vilnius E476379 entity
Predicate sculpturesRemoved P137474 FINISHED
Object 2015 LITERAL 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: 2015 | Statement: [Green Bridge in Vilnius, sculpturesRemoved, 2015]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sculpturesRemoved
Context triple: [Green Bridge in Vilnius, sculpturesRemoved, 2015]
  • A. statueRemovedBy
    Indicates that a statue was taken down, dismantled, or otherwise removed by a specified agent or authority.
  • B. completionOfSculptures
    Indicates that one entity is responsible for finishing or bringing to completion the creation or production of sculptures associated with another entity.
  • C. numberOfSculptures
    Indicates the quantity of sculptures associated with a given entity or context.
  • D. sculpturesNowIn
    Indicates that certain sculptures are currently located in or held by a specified place or collection.
  • E. hasSculpturalFigures
    Indicates that something includes or features three-dimensional sculpted figures as part of its form or decoration.
  • F. None of above. chosen

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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656cc0f2c81908137caa4c2087027 completed April 20, 2026, 4:39 p.m.
PD Predicate disambiguation batch_69e5305bda388190a23b7191768107b1 completed April 19, 2026, 7:43 p.m.
PDg Predicate description generation batch_69e532bcf41c8190b685b5adf46a60fc completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 1:50 p.m.