Triple

T1569641
Position Surface form Disambiguated ID Type / Status
Subject Lokpriya Gopinath Bordoloi International Airport E33508 entity
Predicate IATAcode P418 FINISHED
Object GAU
GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
 E179154 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: GAU | Statement: [Lokpriya Gopinath Bordoloi International Airport, IATAcode, GAU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GAU
Context triple: [Lokpriya Gopinath Bordoloi International Airport, IATAcode, GAU]
  • A. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • B. GUA
    GUA is the vehicle registration code used on license plates for vehicles registered in Guatemala City, the capital of Guatemala.
  • C. GA-1
    GA-1 is the abbreviated designation for Georgia State Route 1, a major north–south state highway running through western Georgia.
  • D. GAW
    GAW is a World Meteorological Organization program that coordinates global observations and analysis of atmospheric composition and related environmental changes.
  • E. GAIS
    GAIS is a Swedish sports club from Gothenburg best known for its professional football team competing in the national league system.
  • 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: GAU
Triple: [Lokpriya Gopinath Bordoloi International Airport, IATAcode, GAU]
Generated description
GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GAU
Target entity description: GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
  • A. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • B. GUA
    GUA is the vehicle registration code used on license plates for vehicles registered in Guatemala City, the capital of Guatemala.
  • C. GA-1
    GA-1 is the abbreviated designation for Georgia State Route 1, a major north–south state highway running through western Georgia.
  • D. GAW
    GAW is a World Meteorological Organization program that coordinates global observations and analysis of atmospheric composition and related environmental changes.
  • E. GAIS
    GAIS is a Swedish sports club from Gothenburg best known for its professional football team competing in the national league system.
  • 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_69a885f11b048190935025a035302715 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908b67304819081ad555000e51197 completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad40263ef08190a968f6c822b5d483 completed March 8, 2026, 9:23 a.m.
NEDg Description generation batch_69ad40cb84d081908c6e1651989de716 completed March 8, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69ad41b1192c81909b89013d8296fd22 completed March 8, 2026, 9:30 a.m.
Created at: March 4, 2026, 7:27 p.m.