Triple

T1367195
Position Surface form Disambiguated ID Type / Status
Subject Sala Regia E30029 entity
Predicate alsoKnownAs P39 FINISHED
Object Regia Hall E155852 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: Regia Hall | Statement: [Sala Regia, alsoKnownAs, Regia Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regia Hall
Context triple: [Sala Regia, alsoKnownAs, Regia Hall]
  • A. Royal Hall chosen
    Royal Hall is the English name for the historic Sala Regia, a grand ceremonial chamber traditionally used for important official and state functions.
  • B. Canton Hall
    Canton Hall is a historic live music and event venue located in Dallas’s Deep Ellum entertainment district.
  • C. King Hall
    King Hall is the law school of the University of California, Davis, formally known as the UC Davis School of Law.
  • D. Mosaic Hall
    Mosaic Hall was an ornate ceremonial chamber within the Reich Chancellery in Berlin, used for official receptions and state functions during the Nazi era.
  • E. Arhat Hall
    Arhat Hall is a renowned Buddhist hall within Guiyuan Temple, famous for its numerous life-sized statues of arhats (enlightened disciples) arranged for worship and contemplation.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d33d2081908008494b5f56bf56 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd47f25c48190a27f87909c15d7c3 completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:57 p.m.