Triple

T2290018
Position Surface form Disambiguated ID Type / Status
Subject SCJN E51479 entity
Predicate hasChamber P2970 FINISHED
Object Second Chamber E51865 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: Second Chamber | Statement: [SCJN, hasChamber, Second Chamber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Second Chamber
Context triple: [SCJN, hasChamber, Second Chamber]
  • A. Second Chamber chosen
    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.
  • B. Second Chamber
    The Second Chamber is the lower house of the Dutch parliament, responsible for initiating and scrutinizing legislation and overseeing the government.
  • C. First Chamber
    The First Chamber is the upper house of the Dutch parliament, responsible for reviewing and approving legislation passed by the lower house.
  • D. 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.
  • E. Assembly Chamber
    The Assembly Chamber is the main debating hall of the Northern Ireland Assembly, where elected representatives meet to discuss and pass legislation.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc273b67c8190bcd96f9a484647ef completed March 7, 2026, 6:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f210bb881909086b86b2c3017a7 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:48 p.m.