Triple

T18540144
Position Surface form Disambiguated ID Type / Status
Subject Rizhao Shanzihe Airport E453073 entity
Predicate ICAOcode P419 FINISHED
Object ZSRZ
ZSRZ is the ICAO airport code assigned to Rizhao Shanzihe Airport in Rizhao, Shandong Province, China.
E1328492 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: ZSRZ | Statement: [Rizhao Shanzihe Airport, ICAOcode, ZSRZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZSRZ
Context triple: [Rizhao Shanzihe Airport, ICAOcode, ZSRZ]
  • A. ZGSZ
    ZGSZ is the ICAO airport code for Shenzhen Bao’an International Airport, a major aviation hub serving the city of Shenzhen in Guangdong, China.
  • B. ZRS-5
    ZRS-5 was the hull designation of USS Macon, a U.S. Navy rigid airship and flying aircraft carrier operated in the early 1930s.
  • C. ZSFZ
    ZSFZ is the ICAO airport code for Fuzhou Changle International Airport, the main international airport serving Fuzhou in Fujian Province, China.
  • D. ZSXZ
    ZSXZ is the ICAO airport code assigned to Xuzhou Guanyin International Airport in Xuzhou, Jiangsu Province, China.
  • E. ZSQZ
    ZSQZ is the ICAO airport code for Quanzhou Jinjiang International Airport in Fujian Province, 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: ZSRZ
Triple: [Rizhao Shanzihe Airport, ICAOcode, ZSRZ]
Generated description
ZSRZ is the ICAO airport code assigned to Rizhao Shanzihe Airport in Rizhao, Shandong Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ZSRZ
Target entity description: ZSRZ is the ICAO airport code assigned to Rizhao Shanzihe Airport in Rizhao, Shandong Province, China.
  • A. ZGSZ
    ZGSZ is the ICAO airport code for Shenzhen Bao’an International Airport, a major aviation hub serving the city of Shenzhen in Guangdong, China.
  • B. ZRS-5
    ZRS-5 was the hull designation of USS Macon, a U.S. Navy rigid airship and flying aircraft carrier operated in the early 1930s.
  • C. ZSFZ
    ZSFZ is the ICAO airport code for Fuzhou Changle International Airport, the main international airport serving Fuzhou in Fujian Province, China.
  • D. ZSXZ
    ZSXZ is the ICAO airport code assigned to Xuzhou Guanyin International Airport in Xuzhou, Jiangsu Province, China.
  • E. ZSQZ
    ZSQZ is the ICAO airport code for Quanzhou Jinjiang International Airport in Fujian Province, 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534b64178819082861a03fd067095 completed April 19, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a049181e49c8190b606687f9b078b3a completed May 13, 2026, 2:58 p.m.
NEDg Description generation batch_6a04920be21881908f8aac148aa0ae4d completed May 13, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_6a0492a5f9148190911747f8d50540e3 completed May 13, 2026, 3:03 p.m.
Created at: April 10, 2026, 11:37 a.m.