Triple

T14082164
Position Surface form Disambiguated ID Type / Status
Subject Tamil Nadu Legislative Assembly E338893 entity
Predicate acronym P43 FINISHED
Object TNLA E338893 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: TNLA | Statement: [Tamil Nadu Legislative Assembly, acronym, TNLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TNLA
Context triple: [Tamil Nadu Legislative Assembly, acronym, TNLA]
  • A. TNLA chosen
    TNLA is the commonly used acronym for the Tamil Nadu Legislative Assembly, the unicameral law-making body of the Indian state of Tamil Nadu.
  • B. NLA
    NLA refers to Switzerland’s top professional ice hockey league, known for featuring high-level European competition.
  • C. TLA
    TLA is a formal specification language developed by Leslie Lamport for describing and reasoning about concurrent and distributed systems using temporal logic.
  • D. TN
    TN is a UK postcode area covering Tunbridge Wells and surrounding parts of Kent and East Sussex.
  • E. TN
    TN is the official two-letter U.S. Postal Service abbreviation for the state of Tennessee.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5f759c81909bfd60ab35b0937b completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6749c3c81909833a0b6ddcae3fb completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.