Triple

T1739606
Position Surface form Disambiguated ID Type / Status
Subject Los Angeles World Airports E38201 entity
Predicate abbreviation P43 FINISHED
Object LAWA
LAWA is the municipal agency that owns and operates Los Angeles’ system of airports, including Los Angeles International Airport (LAX).
 E192950 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: LAWA | Statement: [Los Angeles World Airports, abbreviation, LAWA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LAWA
Context triple: [Los Angeles World Airports, abbreviation, LAWA]
  • A. LAU
    LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
  • B. LAWASIA
    LAWASIA is a regional association of legal professionals and bar organizations in the Asia-Pacific dedicated to promoting the rule of law, human rights, and legal cooperation.
  • C. LAK
    LAK is the standard abbreviation used to represent the Los Angeles Lakers NBA franchise in scores, statistics, and media.
  • D. LAA
    LAA is the standard Major League Baseball abbreviation for the Los Angeles Angels franchise.
  • E. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • 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: LAWA
Triple: [Los Angeles World Airports, abbreviation, LAWA]
Generated description
LAWA is the municipal agency that owns and operates Los Angeles’ system of airports, including Los Angeles International Airport (LAX).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LAWA
Target entity description: LAWA is the municipal agency that owns and operates Los Angeles’ system of airports, including Los Angeles International Airport (LAX).
  • A. LAU
    LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
  • B. LAWASIA
    LAWASIA is a regional association of legal professionals and bar organizations in the Asia-Pacific dedicated to promoting the rule of law, human rights, and legal cooperation.
  • C. LAK
    LAK is the standard abbreviation used to represent the Los Angeles Lakers NBA franchise in scores, statistics, and media.
  • D. LAA
    LAA is the standard Major League Baseball abbreviation for the Los Angeles Angels franchise.
  • E. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c4639c81908b91b2559f0c6a5c completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8b060d64819096ba0522ccce9145 completed March 8, 2026, 2:43 p.m.
NEDg Description generation batch_69ad957f64c48190862a701a94098bbf completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97b974708190adfffebee41a6fcd completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.