Triple

T1112438
Position Surface form Disambiguated ID Type / Status
Subject Second Chamber E11024 entity
Predicate worksWith P398 FINISHED
Object First Chamber E10165 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: First Chamber | Statement: [Second Chamber, worksWith, First Chamber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: First Chamber
Context triple: [Second Chamber, worksWith, First Chamber]
  • A. First Chamber chosen
    The First Chamber is the upper house of the Dutch parliament, responsible for reviewing and approving legislation passed by the lower house.
  • B. First Chamber
    The First Chamber is one of the specialized divisions of Mexico’s Supreme Court of Justice of the Nation, typically focused on civil and criminal matters.
  • C. Second Chamber
    The Second Chamber is one of the specialized divisions of Mexico’s Supreme Court of Justice of the Nation, typically focused on resolving civil and criminal law matters.
  • D. Second Chamber
    The Second Chamber is the lower house of the Dutch parliament, responsible for initiating and scrutinizing legislation and overseeing the government.
  • E. Throne Room
    The Throne Room is a grand ceremonial chamber in the Palace of Holyroodhouse used for royal receptions and state occasions in Scotland.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bb9ea0748190baaeadf76bacc3dd completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5395666c8190b709f91315d785c0 completed March 7, 2026, 4:34 p.m.
Created at: March 1, 2026, 7:43 p.m.