Triple

T14978329
Position Surface form Disambiguated ID Type / Status
Subject Changde Taohuayuan Airport E373510 entity
Predicate IATA code P2569 FINISHED
Object CGD
CGD is the IATA airport code for Changde Taohuayuan Airport in Changde, Hunan Province, China.
E1130257 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: CGD | Statement: [Changde Taohuayuan Airport, IATA code, CGD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CGD
Context triple: [Changde Taohuayuan Airport, IATA code, CGD]
  • A. CDG
    CDG is the IATA airport code for Charles de Gaulle Airport, the main international airport serving Paris and one of Europe’s busiest air hubs.
  • B. CGF
    CGF is the abbreviation for the Commonwealth Games Federation, the international organization responsible for overseeing and managing the Commonwealth Games and related sporting events.
  • C. CGF
    CGF is the abbreviation commonly used for the Central Group of Forces, a major Soviet military formation stationed in Central Europe during the Cold War.
  • D. GSD
    GSD is the regional vehicle registration code assigned to the Pomeranian Voivodeship in Poland.
  • E. GSD
    GSD is Harvard University's Graduate School of Design, a leading institution for architecture, landscape architecture, urban planning, and design education and research.
  • 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: CGD
Triple: [Changde Taohuayuan Airport, IATA code, CGD]
Generated description
CGD is the IATA airport code for Changde Taohuayuan Airport in Changde, Hunan Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CGD
Target entity description: CGD is the IATA airport code for Changde Taohuayuan Airport in Changde, Hunan Province, China.
  • A. CDG
    CDG is the IATA airport code for Charles de Gaulle Airport, the main international airport serving Paris and one of Europe’s busiest air hubs.
  • B. CGF
    CGF is the abbreviation for the Commonwealth Games Federation, the international organization responsible for overseeing and managing the Commonwealth Games and related sporting events.
  • C. CGF
    CGF is the abbreviation commonly used for the Central Group of Forces, a major Soviet military formation stationed in Central Europe during the Cold War.
  • D. GSD
    GSD is the regional vehicle registration code assigned to the Pomeranian Voivodeship in Poland.
  • E. GSD
    GSD is Harvard University's Graduate School of Design, a leading institution for architecture, landscape architecture, urban planning, and design education and research.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6fbd138819092254ea37388026c completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8beca6d88190a0c1adb18c9f2ac4 completed May 9, 2026, 1:20 a.m.
NEDg Description generation batch_69fe8f94018881908d8185d692f9728a completed May 9, 2026, 1:36 a.m.
NED2 Entity disambiguation (via description) batch_69fe8fff27e881908163a1339019e192 completed May 9, 2026, 1:38 a.m.
Created at: April 10, 2026, 2:51 a.m.