Triple

T1938628
Position Surface form Disambiguated ID Type / Status
Subject Tan Son Nhat International Airport E41501 entity
Predicate IATAcode P418 FINISHED
Object SGN
SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
E216863 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: SGN | Statement: [Tan Son Nhat International Airport, IATAcode, SGN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SGN
Context triple: [Tan Son Nhat International Airport, IATAcode, SGN]
  • A. SG
    SG is a postcode area in the United Kingdom covering parts of Hertfordshire and surrounding regions.
  • B. SBGI
    SBGI is the stock ticker symbol for Sinclair Broadcast Group, a major American telecommunications company and television station owner.
  • C. GNB
    GNB is the commonly used abbreviation for the Good News Bible, a modern English translation of the Christian Bible known for its clear and simple language.
  • D. GNB
    GNB is the three-letter ISO 3166-1 alpha-3 country code assigned to Guinea-Bissau.
  • E. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • 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: SGN
Triple: [Tan Son Nhat International Airport, IATAcode, SGN]
Generated description
SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SGN
Target entity description: SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • A. SG
    SG is a postcode area in the United Kingdom covering parts of Hertfordshire and surrounding regions.
  • B. SBGI
    SBGI is the stock ticker symbol for Sinclair Broadcast Group, a major American telecommunications company and television station owner.
  • C. GNB
    GNB is the commonly used abbreviation for the Good News Bible, a modern English translation of the Christian Bible known for its clear and simple language.
  • D. GNB
    GNB is the three-letter ISO 3166-1 alpha-3 country code assigned to Guinea-Bissau.
  • E. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2c8be648190836580cec77a143f completed March 7, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f81e0c819090e3f2154215ff18 completed March 8, 2026, 10:11 p.m.
NEDg Description generation batch_69adf4e94b5081909d4010612d81b917 completed March 8, 2026, 10:15 p.m.
NED2 Entity disambiguation (via description) batch_69adf60463d88190896cedb2b45a67ed completed March 8, 2026, 10:19 p.m.
Created at: March 4, 2026, 7:36 p.m.