Triple

T6894587
Position Surface form Disambiguated ID Type / Status
Subject Xiamen Gaoqi International Airport E159139 entity
Predicate ICAOcode P419 FINISHED
Object ZSAM
ZSAM is the ICAO airport code for Xiamen Gaoqi International Airport in Xiamen, Fujian, China.
 E626730 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: ZSAM | Statement: [Xiamen Gaoqi International Airport, ICAOcode, ZSAM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZSAM
Context triple: [Xiamen Gaoqi International Airport, ICAOcode, ZSAM]
  • A. SAZS
    SAZS is the ICAO airport code for San Carlos de Bariloche Airport, a major gateway to the Patagonia region of Argentina.
  • B. ZAZ
    ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
  • C. SAMS
    SAMS is the Swiss Academy of Medical Sciences, a national institution that promotes medical research, ethics, and healthcare policy in Switzerland.
  • D. SAMO
    SAMO was the graffiti tag and artistic persona used by Jean-Michel Basquiat in late-1970s New York City, known for its cryptic, poetic street art.
  • E. ZA
    ZA is the ISO 3166-1 alpha-2 country code for South Africa.
  • 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: ZSAM
Triple: [Xiamen Gaoqi International Airport, ICAOcode, ZSAM]
Generated description
ZSAM is the ICAO airport code for Xiamen Gaoqi International Airport in Xiamen, Fujian, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZSAM
Target entity description: ZSAM is the ICAO airport code for Xiamen Gaoqi International Airport in Xiamen, Fujian, China.
  • A. SAZS
    SAZS is the ICAO airport code for San Carlos de Bariloche Airport, a major gateway to the Patagonia region of Argentina.
  • B. ZAZ
    ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
  • C. SAMS
    SAMS is the Swiss Academy of Medical Sciences, a national institution that promotes medical research, ethics, and healthcare policy in Switzerland.
  • D. SAMO
    SAMO was the graffiti tag and artistic persona used by Jean-Michel Basquiat in late-1970s New York City, known for its cryptic, poetic street art.
  • E. ZA
    ZA is the ISO 3166-1 alpha-2 country code for South Africa.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d931da24819096b9b205f2c0ebb0 completed March 27, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748db2bd48190bb26f60c58ec8229 completed March 28, 2026, 3:19 a.m.
NEDg Description generation batch_69c749901de081908e5c3ccd324e8191 completed March 28, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69c74a0bcddc819084b22925cf57a205 completed March 28, 2026, 3:24 a.m.
Created at: March 27, 2026, 2:24 p.m.