Triple

T3228855
Position Surface form Disambiguated ID Type / Status
Subject Tamil Nadu Legislative Assembly E67687 entity
Predicate abbreviation P43 FINISHED
Object TNLA
TNLA is the commonly used acronym for the Tamil Nadu Legislative Assembly, the unicameral law-making body of the Indian state of Tamil Nadu.
 E338893 NE FINISHED

How this triple was built (4 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, abbreviation, TNLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TNLA
Context triple: [Tamil Nadu Legislative Assembly, abbreviation, TNLA]
  • A. TN
    TN is a UK postcode area covering Tunbridge Wells and surrounding parts of Kent and East Sussex.
  • B. TN
    TN is the official two-letter U.S. Postal Service abbreviation for the state of Tennessee.
  • C. TN
    TN is the official vehicle registration code used for the Indian state of Tamil Nadu.
  • D. MNLA
    The MNLA (Malayan National Liberation Army) was the armed wing of the Malayan Communist Party that fought a guerrilla war against British colonial rule during the Malayan Emergency (1948–1960).
  • E. RNLA
    RNLA is the abbreviation for the Royal Netherlands Army, the land forces branch of the Dutch Armed Forces.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TNLA
Triple: [Tamil Nadu Legislative Assembly, abbreviation, TNLA]
Generated description
TNLA is the commonly used acronym for the Tamil Nadu Legislative Assembly, the unicameral law-making body of the Indian state of Tamil Nadu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TNLA
Target entity description: TNLA is the commonly used acronym for the Tamil Nadu Legislative Assembly, the unicameral law-making body of the Indian state of Tamil Nadu.
  • A. TN
    TN is a UK postcode area covering Tunbridge Wells and surrounding parts of Kent and East Sussex.
  • B. TN
    TN is the official two-letter U.S. Postal Service abbreviation for the state of Tennessee.
  • C. TN
    TN is the official vehicle registration code used for the Indian state of Tamil Nadu.
  • D. MNLA
    The MNLA (Malayan National Liberation Army) was the armed wing of the Malayan Communist Party that fought a guerrilla war against British colonial rule during the Malayan Emergency (1948–1960).
  • E. RNLA
    RNLA is the abbreviation for the Royal Netherlands Army, the land forces branch of the Dutch Armed Forces.
  • F. None of above. chosen

Provenance (5 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb6f8588190a33a9d6c779e8992 completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b262675b588190bcff98e7fa3a0c77 completed March 12, 2026, 6:51 a.m.
NEDg Description generation batch_69b264c6022c81908b3235e88a7ed27f completed March 12, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b268bd0d3c8190a60dda0a9086c0cc completed March 12, 2026, 7:18 a.m.
Created at: March 8, 2026, 3:08 p.m.