Triple

T15586859
Position Surface form Disambiguated ID Type / Status
Subject Bundeshaus E374643 entity
Predicate hasChamber P2970 FINISHED
Object Council of States chamber E31679 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: Council of States chamber | Statement: [Bundeshaus, hasChamber, Council of States chamber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Council of States chamber
Context triple: [Bundeshaus, hasChamber, Council of States chamber]
  • A. Council of States
    The Council of States is the upper house of Sudan’s national legislature, representing the country’s states at the federal level.
  • B. Council of States chosen
    The Council of States is the smaller chamber of the Swiss Federal Assembly, representing the cantons at the national legislative level.
  • C. Council of States
    The Council of States is the upper chamber of South Sudan’s national legislature, representing the interests of the country’s states at the federal level.
  • D. Rajya Sabha
    Rajya Sabha is the upper chamber of India’s bicameral Parliament, representing the states and union territories at the national level.
  • E. राष्ट्रिय सभा
    राष्ट्रिय सभा is the upper house of Nepal's Federal Parliament, responsible for legislative review and representing the provinces at the national level.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4900408190aadb48b001db4169 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c5166d88190ab14c7779e3e8e1f completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:11 a.m.