Triple

T10661354
Position Surface form Disambiguated ID Type / Status
Subject Aalborg Airport E251232 entity
Predicate IATAcode P418 FINISHED
Object AAL
AAL is the IATA airport code for Aalborg Airport, an international airport serving the city of Aalborg in northern Denmark.
 E876561 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: AAL | Statement: [Aalborg Airport, IATAcode, AAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AAL
Context triple: [Aalborg Airport, IATAcode, AAL]
  • A. AAL
    AAL is the ICAO airline designator used in aviation to identify American Airlines in flight operations and air traffic control.
  • B. AUL
    AUL is the ICAO airline designator assigned to the Russian carrier Smartavia.
  • C. AUL
    AUL is an abbreviation used in Massachusetts environmental regulation to denote an Activity and Use Limitation, a legal restriction placed on how a contaminated property may be used.
  • D. ALE
    ALE is a widely used research platform that provides a common interface to hundreds of Atari 2600 games for developing and evaluating artificial intelligence and reinforcement learning algorithms.
  • E. ALE
    ALE (Antarctic Logistics & Expeditions) is a private company that provides logistical support, flights, and guided expeditions for scientific teams and adventure tourists in Antarctica.
  • 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: AAL
Triple: [Aalborg Airport, IATAcode, AAL]
Generated description
AAL is the IATA airport code for Aalborg Airport, an international airport serving the city of Aalborg in northern Denmark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AAL
Target entity description: AAL is the IATA airport code for Aalborg Airport, an international airport serving the city of Aalborg in northern Denmark.
  • A. AAL
    AAL is the ICAO airline designator used in aviation to identify American Airlines in flight operations and air traffic control.
  • B. AUL
    AUL is the ICAO airline designator assigned to the Russian carrier Smartavia.
  • C. AUL
    AUL is an abbreviation used in Massachusetts environmental regulation to denote an Activity and Use Limitation, a legal restriction placed on how a contaminated property may be used.
  • D. ALE
    ALE is a widely used research platform that provides a common interface to hundreds of Atari 2600 games for developing and evaluating artificial intelligence and reinforcement learning algorithms.
  • E. ALE
    ALE (Antarctic Logistics & Expeditions) is a private company that provides logistical support, flights, and guided expeditions for scientific teams and adventure tourists in Antarctica.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6e017f97c8190b22765a6f1e6719d completed April 8, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a8cabc88190b430cb08ed0fc515 completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97cd3eab48190a191f0d8278ef761 completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e189800819087bf6af15b2370a2 completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:08 p.m.