Triple

T18451769
Position Surface form Disambiguated ID Type / Status
Subject Yantai Penglai International Airport E450799 entity
Predicate ICAOcode P419 FINISHED
Object ZSYT
ZSYT is the ICAO airport code for Yantai Penglai International Airport in Shandong Province, China.
E1325828 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: ZSYT | Statement: [Yantai Penglai International Airport, ICAOcode, ZSYT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZSYT
Context triple: [Yantai Penglai International Airport, ICAOcode, ZSYT]
  • A. ZJSY
    ZJSY is the ICAO airport code for Sanya Phoenix International Airport, a major civil aviation hub serving Sanya in Hainan, China.
  • B. YZT
    YZT is the IATA airport code for Port Hardy Airport, which serves the town of Port Hardy on the northern tip of Vancouver Island in British Columbia, Canada.
  • C. ZHSY
    ZHSY is the ICAO airport code assigned to Shiyan Wudangshan Airport in Hubei Province, China.
  • D. ZYR
    ZYR is the IATA code for Brussels-South railway station, a major international rail hub in Brussels, Belgium.
  • E. YZS
    YZS is the IATA airport code for Coral Harbour Airport, which serves the community of Coral Harbour in Nunavut, Canada.
  • 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: ZSYT
Triple: [Yantai Penglai International Airport, ICAOcode, ZSYT]
Generated description
ZSYT is the ICAO airport code for Yantai Penglai International Airport in Shandong Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ZSYT
Target entity description: ZSYT is the ICAO airport code for Yantai Penglai International Airport in Shandong Province, China.
  • A. ZJSY
    ZJSY is the ICAO airport code for Sanya Phoenix International Airport, a major civil aviation hub serving Sanya in Hainan, China.
  • B. YZT
    YZT is the IATA airport code for Port Hardy Airport, which serves the town of Port Hardy on the northern tip of Vancouver Island in British Columbia, Canada.
  • C. ZHSY
    ZHSY is the ICAO airport code assigned to Shiyan Wudangshan Airport in Hubei Province, China.
  • D. ZYR
    ZYR is the IATA code for Brussels-South railway station, a major international rail hub in Brussels, Belgium.
  • E. YZS
    YZS is the IATA airport code for Coral Harbour Airport, which serves the community of Coral Harbour in Nunavut, Canada.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264906cc8190b8b2cb77ec93d480 completed April 19, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fe5eb1081909ecdf53f4b6b9370 completed May 13, 2026, 5:45 a.m.
NEDg Description generation batch_6a043a81cd58819089df50804870952e completed May 13, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_6a043c0580048190afd9fe46e6863918 completed May 13, 2026, 8:53 a.m.
Created at: April 10, 2026, 11:31 a.m.