Triple

T14098333
Position Surface form Disambiguated ID Type / Status
Subject São Jorge Airport E339313 entity
Predicate IATAcode P418 FINISHED
Object SJZ
SJZ is the IATA airport code for São Jorge Airport, which serves the island of São Jorge in Portugal’s Azores archipelago.
E1079936 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: SJZ | Statement: [São Jorge Airport, IATAcode, SJZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SJZ
Context triple: [São Jorge Airport, IATAcode, SJZ]
  • A. ZSJN
    ZSJN is the ICAO airport code for Jinan Yaoqiang International Airport, the main commercial airport serving Jinan in Shandong Province, China.
  • B. ZSXZ
    ZSXZ is the ICAO airport code assigned to Xuzhou Guanyin International Airport in Xuzhou, Jiangsu Province, China.
  • C. SJ
    SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
  • D. SJ
    SJ is the vehicle registration code used on license plates for cars registered in Jaworzno, Poland.
  • E. SJ
    SJ is the IATA airline designator assigned to Sriwijaya Air, an Indonesian commercial airline.
  • 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: SJZ
Triple: [São Jorge Airport, IATAcode, SJZ]
Generated description
SJZ is the IATA airport code for São Jorge Airport, which serves the island of São Jorge in Portugal’s Azores archipelago.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SJZ
Target entity description: SJZ is the IATA airport code for São Jorge Airport, which serves the island of São Jorge in Portugal’s Azores archipelago.
  • A. ZSJN
    ZSJN is the ICAO airport code for Jinan Yaoqiang International Airport, the main commercial airport serving Jinan in Shandong Province, China.
  • B. ZSXZ
    ZSXZ is the ICAO airport code assigned to Xuzhou Guanyin International Airport in Xuzhou, Jiangsu Province, China.
  • C. SJ
    SJ is the vehicle registration code used on license plates for cars registered in Jaworzno, Poland.
  • D. SJ
    SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
  • E. SJ
    SJ is the IATA airline designator assigned to Sriwijaya Air, an Indonesian commercial airline.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fb926288190a7f0f50d1d585d76 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0adfc28819097a1bfd56739c286 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd41c84408190ab4bc885e7ba8f81 completed May 7, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_69fcd4ab4b588190977b3dc2adc1f412 completed May 7, 2026, 6:06 p.m.
Created at: April 9, 2026, 10:22 p.m.