Triple

T7114622
Position Surface form Disambiguated ID Type / Status
Subject Sofia Airport E165787 entity
Predicate IATAcode P418 FINISHED
Object SOF
SOF is the three-letter IATA airport code for Sofia Airport, the main international airport serving Sofia, the capital of Bulgaria.
 E641764 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: SOF | Statement: [Sofia Airport, IATAcode, SOF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SOF
Context triple: [Sofia Airport, IATAcode, SOF]
  • A. SOF
    SOF refers to Jordan’s elite Special Operations Forces, a highly trained military unit specializing in counterterrorism, unconventional warfare, and rapid-response missions.
  • B. SOFI
    SOFI is the commonly used abbreviation for the annual United Nations report “The State of Food Security and Nutrition in the World,” which monitors global hunger and nutrition trends.
  • C. SOFI
    SOFI is a near-infrared imaging and spectroscopic instrument used on the NTT 3.58 m Telescope at the La Silla Observatory for astronomical observations.
  • D. ZSOF
    ZSOF is the ICAO airport code for Hefei Xinqiao International Airport, the main commercial airport serving Hefei in Anhui Province, China.
  • E. SOU
    SOU is the three-letter National Rail station code for Southampton Central railway station in Hampshire, England.
  • 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: SOF
Triple: [Sofia Airport, IATAcode, SOF]
Generated description
SOF is the three-letter IATA airport code for Sofia Airport, the main international airport serving Sofia, the capital of Bulgaria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SOF
Target entity description: SOF is the three-letter IATA airport code for Sofia Airport, the main international airport serving Sofia, the capital of Bulgaria.
  • A. SOF
    SOF refers to Jordan’s elite Special Operations Forces, a highly trained military unit specializing in counterterrorism, unconventional warfare, and rapid-response missions.
  • B. SOFI
    SOFI is the commonly used abbreviation for the annual United Nations report “The State of Food Security and Nutrition in the World,” which monitors global hunger and nutrition trends.
  • C. SOFI
    SOFI is a near-infrared imaging and spectroscopic instrument used on the NTT 3.58 m Telescope at the La Silla Observatory for astronomical observations.
  • D. ZSOF
    ZSOF is the ICAO airport code for Hefei Xinqiao International Airport, the main commercial airport serving Hefei in Anhui Province, China.
  • E. SOU
    SOU is the three-letter National Rail station code for Southampton Central railway station in Hampshire, England.
  • 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5f0dab8819092103aefcaa1f9c2 completed March 27, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79cbfc7a08190ab07f3d65aa79f16 completed March 28, 2026, 9:17 a.m.
NEDg Description generation batch_69c79d0215888190b0e59c2584358a05 completed March 28, 2026, 9:18 a.m.
NED2 Entity disambiguation (via description) batch_69c79d63b6dc8190b3b52ef6566ba490 completed March 28, 2026, 9:20 a.m.
Created at: March 27, 2026, 2:43 p.m.