Triple

T9013018
Position Surface form Disambiguated ID Type / Status
Subject Sultan Abdul Aziz Shah Airport E215520 entity
Predicate IATAcode P418 FINISHED
Object SZB
SZB is the IATA airport code for Sultan Abdul Aziz Shah Airport, a secondary airport serving the Kuala Lumpur area in Malaysia.
 E773638 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: SZB | Statement: [Sultan Abdul Aziz Shah Airport, IATAcode, SZB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SZB
Context triple: [Sultan Abdul Aziz Shah Airport, IATAcode, SZB]
  • A. SZB
    SZB is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
  • B. SZ
    SZ is the vehicle registration code for the German city of Salzgitter in Lower Saxony.
  • C. SZG
    SZG is the three-letter IATA airport code for Salzburg Airport in Salzburg, Austria.
  • D. SZF
    SZF is the IATA airport code for Samsun-Çarşamba Airport, a regional airport serving the city of Samsun in northern Turkey.
  • E. SZS
    SZS is the ICAO airline designator assigned to SAS Ireland, a subsidiary carrier operating flights on behalf of Scandinavian Airlines.
  • 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: SZB
Triple: [Sultan Abdul Aziz Shah Airport, IATAcode, SZB]
Generated description
SZB is the IATA airport code for Sultan Abdul Aziz Shah Airport, a secondary airport serving the Kuala Lumpur area in Malaysia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SZB
Target entity description: SZB is the IATA airport code for Sultan Abdul Aziz Shah Airport, a secondary airport serving the Kuala Lumpur area in Malaysia.
  • A. SZB
    SZB is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
  • B. SZ
    SZ is the vehicle registration code for the German city of Salzgitter in Lower Saxony.
  • C. SZG
    SZG is the three-letter IATA airport code for Salzburg Airport in Salzburg, Austria.
  • D. SZF
    SZF is the IATA airport code for Samsun-Çarşamba Airport, a regional airport serving the city of Samsun in northern Turkey.
  • E. SZS
    SZS is the ICAO airline designator assigned to SAS Ireland, a subsidiary carrier operating flights on behalf of Scandinavian Airlines.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69f96980819093bfc49d48570c65 completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdba11a6481909cac624530a77ffe completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdc9868fc8190addad6b87b567277 completed April 3, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69cfe0aafe4c81908a5b31590f6c9152 completed April 3, 2026, 3:45 p.m.
Created at: March 30, 2026, 7:06 p.m.