Triple

T12210670
Position Surface form Disambiguated ID Type / Status
Subject Xuzhou Guanyin International Airport E290947 entity
Predicate ICAOcode P419 FINISHED
Object ZSXZ
ZSXZ is the ICAO airport code assigned to Xuzhou Guanyin International Airport in Xuzhou, Jiangsu Province, China.
E971332 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: ZSXZ | Statement: [Xuzhou Guanyin International Airport, ICAOcode, ZSXZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZSXZ
Context triple: [Xuzhou Guanyin International Airport, ICAOcode, ZSXZ]
  • A. XZN
    XZN is the IATA station code assigned to the Avignon TGV high-speed railway station in southeastern France.
  • B. ZWZ
    ZWZ was the Polish underground military organization formed during World War II that later evolved into the Home Army (Armia Krajowa), the main resistance force against Nazi occupation.
  • C. LZKZ
    LZKZ is the ICAO airport code for Košice International Airport in eastern Slovakia.
  • D. ZSNJ
    ZSNJ is the ICAO airport code for Nanjing Lukou International Airport, a major civil aviation hub serving Nanjing in eastern China.
  • E. ZYTX
    ZYTX is the ICAO airport code for Shenyang Taoxian International Airport, a major airport serving Shenyang in northeastern China.
  • 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: ZSXZ
Triple: [Xuzhou Guanyin International Airport, ICAOcode, ZSXZ]
Generated description
ZSXZ is the ICAO airport code assigned to Xuzhou Guanyin International Airport in Xuzhou, Jiangsu Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ZSXZ
Target entity description: ZSXZ is the ICAO airport code assigned to Xuzhou Guanyin International Airport in Xuzhou, Jiangsu Province, China.
  • A. XZN
    XZN is the IATA station code assigned to the Avignon TGV high-speed railway station in southeastern France.
  • B. ZWZ
    ZWZ was the Polish underground military organization formed during World War II that later evolved into the Home Army (Armia Krajowa), the main resistance force against Nazi occupation.
  • C. LZKZ
    LZKZ is the ICAO airport code for Košice International Airport in eastern Slovakia.
  • D. ZSNJ
    ZSNJ is the ICAO airport code for Nanjing Lukou International Airport, a major civil aviation hub serving Nanjing in eastern China.
  • E. ZYTX
    ZYTX is the ICAO airport code for Shenyang Taoxian International Airport, a major airport serving Shenyang in northeastern China.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7ed4688190b0546b784e36b0ec completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a9f45108190a814cdca52e77b5e completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60bdbee288190991b08ae685bb401 completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f610ba7a608190b29f25ee2752ba7e completed May 2, 2026, 2:56 p.m.
Created at: April 8, 2026, 9:51 p.m.