Triple

T1044836
Position Surface form Disambiguated ID Type / Status
Subject Maryland State House E22552 entity
Predicate hasNickname P39 FINISHED
Object State House Dome E4470 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: State House Dome | Statement: [Maryland State House, hasNickname, State House Dome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State House Dome
Context triple: [Maryland State House, hasNickname, State House Dome]
  • A. Watertown City Hall
    Watertown City Hall is the main municipal government building and administrative center serving the city of Watertown, Massachusetts.
  • B. Boston City Hall
    Boston City Hall is a prominent example of Brutalist civic architecture in downtown Boston that houses the city’s municipal government offices and council chambers.
  • C. Massachusetts State House chosen
    The Massachusetts State House is the historic gold-domed capitol building in Boston that serves as the seat of the state’s government and legislature.
  • D. Faneuil Hall
    Faneuil Hall is a historic marketplace and meeting hall in downtown Boston that played a key role as a gathering place for American colonists during the Revolutionary era.
  • E. Newton City Hall
    Newton City Hall is the main municipal government building and administrative center for the city of Newton, Massachusetts.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b84937688190a5899af2104002df completed March 1, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bc97dec81909b6ad48e3f203923 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:42 p.m.