Triple

T3116370
Position Surface form Disambiguated ID Type / Status
Subject Agra Airport E65071 entity
Predicate IATAcode P418 FINISHED
Object AGR
AGR is the IATA airport code for Agra Airport, which serves the city of Agra in India near the Taj Mahal.
 E329571 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: AGR | Statement: [Agra Airport, IATAcode, AGR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AGR
Context triple: [Agra Airport, IATAcode, AGR]
  • A. AG
    AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
  • B. AG
    AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
  • C. ARS
    ARS is the principal in-house research agency of the United States Department of Agriculture, conducting scientific studies to improve agriculture, food safety, and environmental quality.
  • D. ARS
    ARS is the commonly used acronym for the Sicilian Regional Assembly, the legislative body of the autonomous region of Sicily in Italy.
  • E. ARE
    ARE is a professional licensure examination for architects in the United States that assesses candidates’ knowledge and skills required for independent practice.
  • 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: AGR
Triple: [Agra Airport, IATAcode, AGR]
Generated description
AGR is the IATA airport code for Agra Airport, which serves the city of Agra in India near the Taj Mahal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AGR
Target entity description: AGR is the IATA airport code for Agra Airport, which serves the city of Agra in India near the Taj Mahal.
  • A. AG
    AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
  • B. AG
    AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
  • C. ARS
    ARS is the principal in-house research agency of the United States Department of Agriculture, conducting scientific studies to improve agriculture, food safety, and environmental quality.
  • D. ARS
    ARS is the commonly used acronym for the Sicilian Regional Assembly, the legislative body of the autonomous region of Sicily in Italy.
  • E. ARE
    ARE is a professional licensure examination for architects in the United States that assesses candidates’ knowledge and skills required for independent practice.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada4e5d1488190a2ab199625fdf05d completed March 8, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f606fc881908754a78e6aa2de64 completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b2134b5eac8190adadc4a27cfe10c7 completed March 12, 2026, 1:13 a.m.
NED2 Entity disambiguation (via description) batch_69b216fcb1a881908edeadc639de31ae completed March 12, 2026, 1:29 a.m.
Created at: March 8, 2026, 3:04 p.m.