Triple

T9840145
Position Surface form Disambiguated ID Type / Status
Subject Madras State in Rajya Sabha E239201 entity
Predicate legislativeBody P239 FINISHED
Object Rajya Sabha E9754 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: Rajya Sabha | Statement: [Madras State in Rajya Sabha, legislativeBody, Rajya Sabha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajya Sabha
Context triple: [Madras State in Rajya Sabha, legislativeBody, Rajya Sabha]
  • A. Rajya Sabha chosen
    Rajya Sabha is the upper chamber of India’s bicameral Parliament, representing the states and union territories at the national level.
  • B. 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.
  • C. Council of States
    The Council of States is the smaller chamber of the Swiss Federal Assembly, representing the cantons at the national legislative level.
  • D. 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.
  • E. 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.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34b045481908f89abd576aab497 completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5d5484c8190a78ccd0e9816ba51 completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:33 p.m.