Triple

T1138482
Position Surface form Disambiguated ID Type / Status
Subject Oslo Opera House E23193 entity
Predicate client P27 FINISHED
Object Statsbygg E121370 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: Statsbygg | Statement: [Oslo Opera House, client, Statsbygg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Statsbygg
Context triple: [Oslo Opera House, client, Statsbygg]
  • A. Statsbygg chosen
    Statsbygg is the Norwegian government's key agency responsible for planning, constructing, managing, and maintaining state-owned buildings and properties.
  • B. Stat.
    Stat. is the standard legal citation abbreviation for the United States Statutes at Large, the official chronological compilation of all federal laws and resolutions enacted by the U.S. Congress.
  • C. Architecture-Studio
    Architecture-Studio is a French architectural firm known for designing major public and cultural buildings, including the Strasbourg seat of the European Parliament.
  • D. SOM
    SOM is the three-letter ISO 3166-1 alpha-3 country code assigned to Somalia.
  • E. Theme Building
    The Theme Building is a futuristic, space-age landmark structure at Los Angeles International Airport known for its distinctive flying-saucer design and iconic mid-century modern architecture.
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc25dda481909a26d726fdbdbb50 completed March 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59b020d48190bc6ecbdb720c6779 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:44 p.m.