Triple

T12975778
Position Surface form Disambiguated ID Type / Status
Subject Flores Airport E321519 entity
Predicate ICAOcode P419 FINISHED
Object LPFL
LPFL is the ICAO airport code for Flores Airport, which serves the island of Flores in Portugal’s Azores archipelago.
E1012377 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: LPFL | Statement: [Flores Airport, ICAOcode, LPFL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LPFL
Context triple: [Flores Airport, ICAOcode, LPFL]
  • A. LPFR
    LPFR is the ICAO airport code for Faro Airport, the main international gateway to Portugal’s Algarve region.
  • B. PLF
    The Palestinian Liberation Front (PLF) is a Palestinian nationalist militant organization that has carried out armed operations primarily against Israeli targets and has been designated a terrorist group by several countries.
  • C. LFPB
    LFPB is the ICAO airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for business aviation and the Paris Air Show.
  • D. LFP
    LFP is the commonly used abbreviation for Spain’s top professional football league organizer, La Liga (Liga Nacional de Fútbol Profesional).
  • E. LFP
    LFP is the French professional football league organization that oversees the top national divisions, including Ligue 1 and Ligue 2.
  • 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: LPFL
Triple: [Flores Airport, ICAOcode, LPFL]
Generated description
LPFL is the ICAO airport code for Flores Airport, which serves the island of Flores in Portugal’s Azores archipelago.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LPFL
Target entity description: LPFL is the ICAO airport code for Flores Airport, which serves the island of Flores in Portugal’s Azores archipelago.
  • A. LPFR
    LPFR is the ICAO airport code for Faro Airport, the main international gateway to Portugal’s Algarve region.
  • B. PLF
    The Palestinian Liberation Front (PLF) is a Palestinian nationalist militant organization that has carried out armed operations primarily against Israeli targets and has been designated a terrorist group by several countries.
  • C. LFPB
    LFPB is the ICAO airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for business aviation and the Paris Air Show.
  • D. LFP
    LFP is the commonly used abbreviation for Spain’s top professional football league organizer, La Liga (Liga Nacional de Fútbol Profesional).
  • E. LFP
    LFP is the French professional football league organization that oversees the top national divisions, including Ligue 1 and Ligue 2.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e48c0208190bb7ec80780480b37 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8ec821c81909398d8e02d69dcbf completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9dc31ec819093c89ff0a1ccbfa1 completed May 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69f6baacd7548190af5514923a0dee26 completed May 3, 2026, 3:02 a.m.
Created at: April 9, 2026, 8:37 p.m.