Triple

T17208810
Position Surface form Disambiguated ID Type / Status
Subject Harbour Air Seaplanes E417669 entity
Predicate ICAOCode P419 FINISHED
Object HAB
HAB is the ICAO airline designator assigned to Harbour Air Seaplanes, a Canadian seaplane operator based in British Columbia.
E1256461 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: HAB | Statement: [Harbour Air Seaplanes, ICAOCode, HAB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HAB
Context triple: [Harbour Air Seaplanes, ICAOCode, HAB]
  • A. HAB
    HAB is the HIV/AIDS Bureau, a U.S. federal agency component that oversees programs and funding to improve care and treatment for people living with HIV.
  • B. Habo
    Habo is a locality in southern Sweden known as the seat of Habo Municipality in the historical province of Västergötland.
  • C. HAP
    HAP is Apple's HomeKit Accessory Protocol, a communication standard that defines how smart home accessories securely interact with Apple devices and the Home app.
  • D. HOB
    HOB is the IATA airport code for Lea County Regional Airport serving Hobbs, New Mexico.
  • E. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • 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: HAB
Triple: [Harbour Air Seaplanes, ICAOCode, HAB]
Generated description
HAB is the ICAO airline designator assigned to Harbour Air Seaplanes, a Canadian seaplane operator based in British Columbia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HAB
Target entity description: HAB is the ICAO airline designator assigned to Harbour Air Seaplanes, a Canadian seaplane operator based in British Columbia.
  • A. HAB
    HAB is the HIV/AIDS Bureau, a U.S. federal agency component that oversees programs and funding to improve care and treatment for people living with HIV.
  • B. Habo
    Habo is a locality in southern Sweden known as the seat of Habo Municipality in the historical province of Västergötland.
  • C. HAP
    HAP is Apple's HomeKit Accessory Protocol, a communication standard that defines how smart home accessories securely interact with Apple devices and the Home app.
  • D. HOB
    HOB is the IATA airport code for Lea County Regional Airport serving Hobbs, New Mexico.
  • E. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc3b0ec8190b8c9fc401da5770c completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fe0a28c8190a76b3a356f7e0478 completed May 11, 2026, 4:49 a.m.
NEDg Description generation batch_6a0161ceed2081908d2efe69c5bc06a0 completed May 11, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_6a0162692420819097b99a71ec470861 completed May 11, 2026, 5 a.m.
Created at: April 10, 2026, 5:38 a.m.