Triple

T21948749
Position Surface form Disambiguated ID Type / Status
Subject Zhengzhou Xinzheng International Airport E542005 entity
Predicate ICAOcode P419 FINISHED
Object ZHCC
ZHCC is the ICAO airport code for Zhengzhou Xinzheng International Airport, a major air transport hub serving Zhengzhou and the Henan province in central China.
 E1509985 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: ZHCC | Statement: [Zhengzhou Xinzheng International Airport, ICAOcode, ZHCC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZHCC
Context triple: [Zhengzhou Xinzheng International Airport, ICAOcode, ZHCC]
  • A. ZCHS
    ZCHS is a public high school serving the Zionsville, Indiana community, known for its strong academics and extracurricular programs.
  • B. CH-ZG
    CH-ZG is the ISO 3166-2 code representing the Swiss canton of Zug.
  • C. ZHF
    ZHF is the station code used to identify Aarau railway station in Switzerland’s rail network.
  • D. ZC
    ZC is the governing body responsible for overseeing and developing the sport of cricket in Zimbabwe.
  • E. ZH
    ZH is the provincial code for Zuid-Holland, a densely populated and economically important province in the western Netherlands that includes cities like Rotterdam and The Hague.
  • 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: ZHCC
Triple: [Zhengzhou Xinzheng International Airport, ICAOcode, ZHCC]
Generated description
ZHCC is the ICAO airport code for Zhengzhou Xinzheng International Airport, a major air transport hub serving Zhengzhou and the Henan province in central China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZHCC
Target entity description: ZHCC is the ICAO airport code for Zhengzhou Xinzheng International Airport, a major air transport hub serving Zhengzhou and the Henan province in central China.
  • A. ZCHS
    ZCHS is a public high school serving the Zionsville, Indiana community, known for its strong academics and extracurricular programs.
  • B. CH-ZG
    CH-ZG is the ISO 3166-2 code representing the Swiss canton of Zug.
  • C. ZHF
    ZHF is the station code used to identify Aarau railway station in Switzerland’s rail network.
  • D. ZC
    ZC is the governing body responsible for overseeing and developing the sport of cricket in Zimbabwe.
  • E. ZH
    ZH is the provincial code for Zuid-Holland, a densely populated and economically important province in the western Netherlands that includes cities like Rotterdam and The Hague.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243a2f788190bd4625fa79888696 completed April 28, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a60f4866c819087a3ef3650885266 completed May 18, 2026, 12:44 a.m.
NEDg Description generation batch_6a0a62ca0b708190a7be985078a35718 completed May 18, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0a635712f08190aa89892eb7555156 completed May 18, 2026, 12:54 a.m.
Created at: April 16, 2026, 7:58 p.m.