Triple

T13139906
Position Surface form Disambiguated ID Type / Status
Subject Shijiazhuang Zhengding International Airport E312184 entity
Predicate IATAcode P418 FINISHED
Object SJW
SJW is the IATA airport code for Shijiazhuang Zhengding International Airport, serving the city of Shijiazhuang in Hebei Province, China.
 E1024772 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: SJW | Statement: [Shijiazhuang Zhengding International Airport, IATAcode, SJW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SJW
Context triple: [Shijiazhuang Zhengding International Airport, IATAcode, SJW]
  • A. JW
    JW is the IATA airline designator assigned to Vanilla Air, a former Japanese low-cost carrier.
  • B. S.J.
    S.J. is the standard post-nominal abbreviation used to designate members of the Catholic religious order known as the Society of Jesus, or the Jesuits.
  • C. JWN
    JWN is the stock ticker symbol for Nordstrom, Inc., a major American luxury department store chain traded on the New York Stock Exchange.
  • D. UJ
    UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
  • E. SJ
    SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
  • 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: SJW
Triple: [Shijiazhuang Zhengding International Airport, IATAcode, SJW]
Generated description
SJW is the IATA airport code for Shijiazhuang Zhengding International Airport, serving the city of Shijiazhuang in Hebei Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SJW
Target entity description: SJW is the IATA airport code for Shijiazhuang Zhengding International Airport, serving the city of Shijiazhuang in Hebei Province, China.
  • A. JW
    JW is the IATA airline designator assigned to Vanilla Air, a former Japanese low-cost carrier.
  • B. S.J.
    S.J. is the standard post-nominal abbreviation used to designate members of the Catholic religious order known as the Society of Jesus, or the Jesuits.
  • C. JWN
    JWN is the stock ticker symbol for Nordstrom, Inc., a major American luxury department store chain traded on the New York Stock Exchange.
  • D. UJ
    UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
  • E. SJ
    SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b6a4348190b9922ed255759078 completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae2c3848190b062fa8da7dc8a92 completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6f01e9c488190ad52280903c074da completed May 3, 2026, 6:50 a.m.
NED2 Entity disambiguation (via description) batch_69f6f0e5f94c81908f4707913dc5dc92 completed May 3, 2026, 6:53 a.m.
Created at: April 9, 2026, 9:09 p.m.