Triple

T5486564
Position Surface form Disambiguated ID Type / Status
Subject All India Reporter (Supreme Court) E123595 entity
Predicate hasAbbreviation P43 FINISHED
Object AIR (SC)
AIR (SC) is a widely cited Indian law report series that publishes authoritative judgments of the Supreme Court of India.
 E522754 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: AIR (SC) | Statement: [All India Reporter (Supreme Court), hasAbbreviation, AIR (SC)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AIR (SC)
Context triple: [All India Reporter (Supreme Court), hasAbbreviation, AIR (SC)]
  • A. 9 Air
    9 Air is a Chinese low-cost airline based in Guangzhou that operates domestic and regional passenger flights.
  • B. J-Air
    J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
  • C. Aira Force
    Aira Force is a picturesque waterfall in England’s Lake District, renowned for its dramatic cascades, woodland trails, and stone arch bridge.
  • D. AIRS
    AIRS (Atmospheric Infrared Sounder) is a satellite instrument on NASA’s Aqua spacecraft that measures Earth’s atmospheric temperature, humidity, and trace gases using infrared spectroscopy.
  • E. Airwave
    Airwave is the secure digital radio communications network used by UK emergency services and public safety organizations for mission-critical voice and data.
  • 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: AIR (SC)
Triple: [All India Reporter (Supreme Court), hasAbbreviation, AIR (SC)]
Generated description
AIR (SC) is a widely cited Indian law report series that publishes authoritative judgments of the Supreme Court of India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AIR (SC)
Target entity description: AIR (SC) is a widely cited Indian law report series that publishes authoritative judgments of the Supreme Court of India.
  • A. 9 Air
    9 Air is a Chinese low-cost airline based in Guangzhou that operates domestic and regional passenger flights.
  • B. J-Air
    J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
  • C. Aira Force
    Aira Force is a picturesque waterfall in England’s Lake District, renowned for its dramatic cascades, woodland trails, and stone arch bridge.
  • D. AIRS
    AIRS (Atmospheric Infrared Sounder) is a satellite instrument on NASA’s Aqua spacecraft that measures Earth’s atmospheric temperature, humidity, and trace gases using infrared spectroscopy.
  • E. Airwave
    Airwave is the secure digital radio communications network used by UK emergency services and public safety organizations for mission-critical voice and data.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd92639b3481908845c280d334117f completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48aa12708190add69c5fd51d161d completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf4a2b6c508190ad13f6d9823ad747 completed March 22, 2026, 1:47 a.m.
NED2 Entity disambiguation (via description) batch_69bf4a87d1fc8190a0e0e75d6f9cd766 completed March 22, 2026, 1:48 a.m.
Created at: March 20, 2026, 2:10 p.m.