Triple

T1363061
Position Surface form Disambiguated ID Type / Status
Subject Gran Canaria Airport E29139 entity
Predicate IATAcode P418 FINISHED
Object LPA
LPA is the IATA airport code for Gran Canaria Airport, the main international gateway to Spain’s Canary Island of Gran Canaria.
 E157022 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: LPA | Statement: [Gran Canaria Airport, IATAcode, LPA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LPA
Context triple: [Gran Canaria Airport, IATAcode, LPA]
  • A. LAU
    LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
  • B. LMA
    LMA is the League Managers Association, the professional body representing and supporting football managers in English leagues.
  • C. PRA
    PRA is the commonly used abbreviation for the Postal Reorganization Act of 1970, the U.S. federal law that transformed the Post Office Department into the United States Postal Service.
  • D. LAA
    LAA is the standard Major League Baseball abbreviation for the Los Angeles Angels franchise.
  • E. AML
    AML is the commonly used abbreviation for the Mexican Academy of Language, a scholarly institution dedicated to the study and regulation of the Spanish language in Mexico.
  • 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: LPA
Triple: [Gran Canaria Airport, IATAcode, LPA]
Generated description
LPA is the IATA airport code for Gran Canaria Airport, the main international gateway to Spain’s Canary Island of Gran Canaria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LPA
Target entity description: LPA is the IATA airport code for Gran Canaria Airport, the main international gateway to Spain’s Canary Island of Gran Canaria.
  • A. LAU
    LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
  • B. LMA
    LMA is the League Managers Association, the professional body representing and supporting football managers in English leagues.
  • C. PRA
    PRA is the commonly used abbreviation for the Postal Reorganization Act of 1970, the U.S. federal law that transformed the Post Office Department into the United States Postal Service.
  • D. LAA
    LAA is the standard Major League Baseball abbreviation for the Los Angeles Angels franchise.
  • E. AML
    AML is the commonly used abbreviation for the Mexican Academy of Language, a scholarly institution dedicated to the study and regulation of the Spanish language in Mexico.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2b4ab3c8190ad692e32eee05976 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce7449548190917277dbc715cde4 completed March 8, 2026, 1:18 a.m.
NEDg Description generation batch_69acd06d000481909f6d934e857236f0 completed March 8, 2026, 1:27 a.m.
NED2 Entity disambiguation (via description) batch_69acd17b8c508190812b241d7906992b completed March 8, 2026, 1:31 a.m.
Created at: March 1, 2026, 7:57 p.m.