Triple

T21048134
Position Surface form Disambiguated ID Type / Status
Subject Y-blokka E518500 entity
Predicate hasHeritageControversy P42781 FINISHED
Object demolition despite preservation protests 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: demolition despite preservation protests | Statement: [Y-blokka, hasHeritageControversy, demolition despite preservation protests]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHeritageControversy
Context triple: [Y-blokka, hasHeritageControversy, demolition despite preservation protests]
  • A. hasControversialAspect
    Indicates that something includes an element, feature, or aspect that is disputed, debated, or likely to cause disagreement or public criticism.
  • B. roleInControversy
    Indicates the specific part, involvement, or function an entity has within a particular controversy or disputed situation.
  • C. hasCensorshipControversy
    Indicates that an entity has been involved in disputes, criticism, or public debate related to censorship of its content or activities.
  • D. locationOfControversy
    Indicates the place or setting where a dispute, debate, or controversy occurs or is centered.
  • E. controversyType chosen
    Indicates the specific kind or category of controversy associated with an entity or situation.
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf5b01481909db49aa5be3846aa completed April 21, 2026, 4:28 a.m.
PD Predicate disambiguation batch_69e5dbf6728881908a2a43a5c8804a2a completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 2:34 p.m.