Triple

T5263786
Position Surface form Disambiguated ID Type / Status
Subject Hannover Airport E118889 entity
Predicate IATAcode P418 FINISHED
Object HAJ
HAJ is the three-letter IATA airport code for Hannover Airport in Hanover, Germany.
 E507280 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: HAJ | Statement: [Hannover Airport, IATAcode, HAJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HAJ
Context triple: [Hannover Airport, IATAcode, HAJ]
  • A. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • B. HAV
    HAV is the IATA airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
  • C. HAA
    HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
  • D. HAD
    HAD is the commonly used abbreviation for the Historical Astronomy Division, a group focused on the study and promotion of the history of astronomy.
  • E. 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.
  • 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: HAJ
Triple: [Hannover Airport, IATAcode, HAJ]
Generated description
HAJ is the three-letter IATA airport code for Hannover Airport in Hanover, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HAJ
Target entity description: HAJ is the three-letter IATA airport code for Hannover Airport in Hanover, Germany.
  • A. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • B. HAV
    HAV is the IATA airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
  • C. HAA
    HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
  • D. HAD
    HAD is the commonly used abbreviation for the Historical Astronomy Division, a group focused on the study and promotion of the history of astronomy.
  • E. 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.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bd4a9888190a79ef8e64c764f86 completed March 20, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe88ba588190b130f1857536816f completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff4322308190b252820e7213f05e completed March 21, 2026, 8:27 p.m.
NED2 Entity disambiguation (via description) batch_69beffe02d208190b857d6aaa4d85dae completed March 21, 2026, 8:30 p.m.
Created at: March 20, 2026, 1:51 p.m.