Triple

T15573562
Position Surface form Disambiguated ID Type / Status
Subject NT Legislative Assembly E374307 entity
Predicate abbreviation P43 FINISHED
Object NTLA
NTLA is the commonly used abbreviation for the Northern Territory Legislative Assembly, the unicameral parliament of Australia's Northern Territory.
E1165271 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: NTLA | Statement: [NT Legislative Assembly, abbreviation, NTLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NTLA
Context triple: [NT Legislative Assembly, abbreviation, NTLA]
  • A. 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.
  • B. NTLs
    NTLs are formal regulatory documents issued to inform lessees and operators of updated requirements, guidelines, or procedures governing their activities.
  • C. NTL
    NTL was a major UK cable television and telecommunications company that became part of Virgin Media following a series of mergers and rebrandings.
  • D. NTA
    NTA is an Indian government agency responsible for conducting major entrance examinations for higher education institutions across the country.
  • E. NTA
    NTA is the acronym for the National Treatment Agency for Substance Misuse, a former UK body responsible for improving drug treatment services and outcomes.
  • 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: NTLA
Triple: [NT Legislative Assembly, abbreviation, NTLA]
Generated description
NTLA is the commonly used abbreviation for the Northern Territory Legislative Assembly, the unicameral parliament of Australia's Northern Territory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NTLA
Target entity description: NTLA is the commonly used abbreviation for the Northern Territory Legislative Assembly, the unicameral parliament of Australia's Northern Territory.
  • A. 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.
  • B. NTLs
    NTLs are formal regulatory documents issued to inform lessees and operators of updated requirements, guidelines, or procedures governing their activities.
  • C. NTL
    NTL was a major UK cable television and telecommunications company that became part of Virgin Media following a series of mergers and rebrandings.
  • D. NTA
    NTA is an Indian government agency responsible for conducting major entrance examinations for higher education institutions across the country.
  • E. NTA
    NTA is the acronym for the National Treatment Agency for Substance Misuse, a former UK body responsible for improving drug treatment services and outcomes.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e2025888190a2b6240296bba13e completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4767e48190a180062688cdc245 completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff507a84c081909ab592497be644fb completed May 9, 2026, 3:19 p.m.
NED2 Entity disambiguation (via description) batch_69ff50f653f48190ae5bd6fcb5665041 completed May 9, 2026, 3:21 p.m.
Created at: April 10, 2026, 4:10 a.m.