Triple

T15173179
Position Surface form Disambiguated ID Type / Status
Subject Zhuhai Jinwan Airport E362540 entity
Predicate IATAcode P418 FINISHED
Object ZUH
ZUH is the IATA airport code for Zhuhai Jinwan Airport, serving the city of Zhuhai in Guangdong Province, China.
E1142610 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: ZUH | Statement: [Zhuhai Jinwan Airport, IATAcode, ZUH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZUH
Context triple: [Zhuhai Jinwan Airport, IATAcode, ZUH]
  • A. ZAH
    ZAH is the IATA airport code for Zahedan International Airport in Zahedan, Iran.
  • B. ZUE
    ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
  • C. ZUM
    ZUM is the IATA airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
  • D. ZUT
    ZUT is the three-letter IATA airport code assigned to Teuge Airport in the Netherlands.
  • E. ZUB
    ZUB is a Swiss train protection and automatic train control system used to enhance operational safety on the Swiss Federal Railways network.
  • 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: ZUH
Triple: [Zhuhai Jinwan Airport, IATAcode, ZUH]
Generated description
ZUH is the IATA airport code for Zhuhai Jinwan Airport, serving the city of Zhuhai in Guangdong Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ZUH
Target entity description: ZUH is the IATA airport code for Zhuhai Jinwan Airport, serving the city of Zhuhai in Guangdong Province, China.
  • A. ZAH
    ZAH is the IATA airport code for Zahedan International Airport in Zahedan, Iran.
  • B. ZUE
    ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
  • C. ZUM
    ZUM is the IATA airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
  • D. ZUT
    ZUT is the three-letter IATA airport code assigned to Teuge Airport in the Netherlands.
  • E. ZUB
    ZUB is a Swiss train protection and automatic train control system used to enhance operational safety on the Swiss Federal Railways network.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006501b488190a2ab09dbf1532571 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec88c69088190a61f0a5719e99b87 completed May 9, 2026, 5:39 a.m.
NEDg Description generation batch_69fec93109c08190a3499e4520e31604 completed May 9, 2026, 5:42 a.m.
NED2 Entity disambiguation (via description) batch_69fecc6fa8f88190aa6956e6e2b1f8ab completed May 9, 2026, 5:55 a.m.
Created at: April 10, 2026, 3:09 a.m.