Triple

T13862382
Position Surface form Disambiguated ID Type / Status
Subject Srinagar International Airport E333228 entity
Predicate ICAOcode P419 FINISHED
Object VISR
VISR is the ICAO airport code for Srinagar International Airport, a major airport serving the city of Srinagar in Jammu and Kashmir, India.
 E1066790 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: VISR | Statement: [Srinagar International Airport, ICAOcode, VISR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VISR
Context triple: [Srinagar International Airport, ICAOcode, VISR]
  • A. VISIR
    VISIR is a mid-infrared imager and spectrometer used on ESO’s Very Large Telescope to study celestial objects at thermal infrared wavelengths.
  • B. VIS
    VIS is the IATA airport code for Visalia Municipal Airport in Visalia, California, United States.
  • C. VIS
    VIS is a large-scale European Union database system used to store and exchange visa application and related biometric data among member states’ authorities.
  • D. VISOR
    VISOR is a specialized Star Trek device that allows the blind engineer Geordi La Forge to perceive a wide spectrum of electromagnetic radiation in place of normal sight.
  • E. VISTA
    VISTA (Volunteers in Service to America) is a national service program in the United States that places volunteers in low-income communities to help alleviate poverty and build local capacity.
  • 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: VISR
Triple: [Srinagar International Airport, ICAOcode, VISR]
Generated description
VISR is the ICAO airport code for Srinagar International Airport, a major airport serving the city of Srinagar in Jammu and Kashmir, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VISR
Target entity description: VISR is the ICAO airport code for Srinagar International Airport, a major airport serving the city of Srinagar in Jammu and Kashmir, India.
  • A. VISIR
    VISIR is a mid-infrared imager and spectrometer used on ESO’s Very Large Telescope to study celestial objects at thermal infrared wavelengths.
  • B. VIS
    VIS is the IATA airport code for Visalia Municipal Airport in Visalia, California, United States.
  • C. VIS
    VIS is a large-scale European Union database system used to store and exchange visa application and related biometric data among member states’ authorities.
  • D. VISOR
    VISOR is a specialized Star Trek device that allows the blind engineer Geordi La Forge to perceive a wide spectrum of electromagnetic radiation in place of normal sight.
  • E. VISTA
    VISTA is a wide-field infrared survey telescope located at ESO’s Paranal Observatory in Chile, designed to map the southern sky in unprecedented detail.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c20db88190acb842748aa01039 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0ff1f78819088ae58f703e2c9ff completed May 3, 2026, 9:41 p.m.
NEDg Description generation batch_69f7c33437e8819085b6f79402500ba3 completed May 3, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_69f7c3cd3cf0819099cc6cbd04c62e83 completed May 3, 2026, 9:53 p.m.
Created at: April 9, 2026, 10:14 p.m.