Triple

T10412414
Position Surface form Disambiguated ID Type / Status
Subject Chengdu Shuangliu International Airport E245424 entity
Predicate ICAOcode P419 FINISHED
Object ZUUU
ZUUU is the ICAO airport code for Chengdu Shuangliu International Airport, a major aviation hub serving Chengdu in Sichuan Province, China.
E862099 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: ZUUU | Statement: [Chengdu Shuangliu International Airport, ICAOcode, ZUUU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZUUU
Context triple: [Chengdu Shuangliu International Airport, ICAOcode, ZUUU]
  • A. UU.
    UU. is the London Stock Exchange ticker symbol for United Utilities Group PLC, a major UK water and wastewater services company.
  • 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. UZ
    UZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Uzbekistan.
  • D. UzK
    UzK is the commonly used abbreviation for the University of Cologne, one of Germany’s largest and oldest universities.
  • E. UU
    UU is the common abbreviation for Unitarian Universalism, a liberal religious tradition that emphasizes spiritual freedom, reason, and inclusive community.
  • 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: ZUUU
Triple: [Chengdu Shuangliu International Airport, ICAOcode, ZUUU]
Generated description
ZUUU is the ICAO airport code for Chengdu Shuangliu International Airport, a major aviation hub serving Chengdu in Sichuan Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ZUUU
Target entity description: ZUUU is the ICAO airport code for Chengdu Shuangliu International Airport, a major aviation hub serving Chengdu in Sichuan Province, China.
  • A. UU.
    UU. is the London Stock Exchange ticker symbol for United Utilities Group PLC, a major UK water and wastewater services company.
  • 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. UZ
    UZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Uzbekistan.
  • D. UzK
    UzK is the commonly used abbreviation for the University of Cologne, one of Germany’s largest and oldest universities.
  • E. UU
    UU is the commonly used abbreviation for Utrecht University, a major research university located in Utrecht, the Netherlands.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea0e17f081908fb16425f65e5808 completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbfae96c8190ac496e9a1158afe4 completed April 9, 2026, 7:20 p.m.
NEDg Description generation batch_69d822d6a0188190a7ee6de5aab50486 completed April 9, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d859e40bf88190a6dc8deed3049d31 completed April 10, 2026, 2:01 a.m.
Created at: April 6, 2026, 12:10 p.m.