Triple

T4906966
Position Surface form Disambiguated ID Type / Status
Subject Delhi Legislative Assembly E109933 entity
Predicate hasAbbreviation P43 FINISHED
Object DLA
DLA is the commonly used abbreviation for the Delhi Legislative Assembly, the unicameral law-making body of the National Capital Territory of Delhi in India.
 E479879 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: DLA | Statement: [Delhi Legislative Assembly, hasAbbreviation, DLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DLA
Context triple: [Delhi Legislative Assembly, hasAbbreviation, DLA]
  • A. DCLA
    DCLA is the New York City government agency responsible for supporting and promoting the city’s cultural institutions, arts organizations, and creative communities.
  • B. DLS
    DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • C. DLG
    DLG is the vehicle registration code for the municipality of Blindheim in Germany.
  • D. DAL
    DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
  • E. DAL
    DAL is the standard three-letter abbreviation used for the NFL team the Dallas Cowboys.
  • 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: DLA
Triple: [Delhi Legislative Assembly, hasAbbreviation, DLA]
Generated description
DLA is the commonly used abbreviation for the Delhi Legislative Assembly, the unicameral law-making body of the National Capital Territory of Delhi in India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DLA
Target entity description: DLA is the commonly used abbreviation for the Delhi Legislative Assembly, the unicameral law-making body of the National Capital Territory of Delhi in India.
  • A. DCLA
    DCLA is the New York City government agency responsible for supporting and promoting the city’s cultural institutions, arts organizations, and creative communities.
  • B. DLS
    DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • C. DLG
    DLG is the vehicle registration code for the municipality of Blindheim in Germany.
  • D. DAL
    DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
  • E. DAL
    DAL is the standard three-letter abbreviation used for the NFL team the Dallas Cowboys.
  • 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e7452d481909078a0027e2a4566 completed March 20, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fdd89588190ae9c8de779d89aaf completed March 21, 2026, 10:15 a.m.
NEDg Description generation batch_69be73ee7d188190a15b910a4b778bee completed March 21, 2026, 10:33 a.m.
NED2 Entity disambiguation (via description) batch_69be742e6e1c8190872179b61a1ed26b completed March 21, 2026, 10:34 a.m.
Created at: March 20, 2026, 1:29 p.m.