Triple

T4188108
Position Surface form Disambiguated ID Type / Status
Subject Sky Airline Perú E88362 entity
Predicate ICAOCode P419 FINISHED
Object HLP
HLP is the ICAO airline designator assigned to Sky Airline Perú, a Peruvian low-cost carrier.
 E419620 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: HLP | Statement: [Sky Airline Perú, ICAOCode, HLP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HLP
Context triple: [Sky Airline Perú, ICAOCode, HLP]
  • A. HLC
    HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • B. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • C. HLLB
    HLLB is the ICAO airport code for Benina International Airport, the main airport serving Benghazi in eastern Libya.
  • D. HEL
    HEL is the three-letter IATA airport code for Helsinki Airport, the main international gateway to Finland’s capital region.
  • E. HLLT
    HLLT is the ICAO airport code for Tripoli International Airport, the main international gateway serving Tripoli, Libya.
  • 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: HLP
Triple: [Sky Airline Perú, ICAOCode, HLP]
Generated description
HLP is the ICAO airline designator assigned to Sky Airline Perú, a Peruvian low-cost carrier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HLP
Target entity description: HLP is the ICAO airline designator assigned to Sky Airline Perú, a Peruvian low-cost carrier.
  • A. HLC
    HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • B. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • C. HLLB
    HLLB is the ICAO airport code for Benina International Airport, the main airport serving Benghazi in eastern Libya.
  • D. HEL
    HEL is the three-letter IATA airport code for Helsinki Airport, the main international gateway to Finland’s capital region.
  • E. HLLT
    HLLT is the ICAO airport code for Tripoli International Airport, the main international gateway serving Tripoli, Libya.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0325a82c8190849d8a828e2c7b44 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a034f6481909a3126d8832f7821 completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58abc256c8190ad37c8d213b8f11e completed March 14, 2026, 4:20 p.m.
NED2 Entity disambiguation (via description) batch_69b58b41916c81909eb2e5ab482a5fe1 completed March 14, 2026, 4:22 p.m.
Created at: March 9, 2026, 3:45 p.m.