Triple

T8819157
Position Surface form Disambiguated ID Type / Status
Subject Donyi Polo Airport E209856 entity
Predicate IATAcode P418 FINISHED
Object HGI
HGI is the IATA airport code for Donyi Polo Airport, a regional airport serving the town of Itanagar in Arunachal Pradesh, India.
 E758192 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: HGI | Statement: [Donyi Polo Airport, IATAcode, HGI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HGI
Context triple: [Donyi Polo Airport, IATAcode, HGI]
  • A. HIG
    HIG is the stock ticker symbol for The Hartford Financial Services Group, a major U.S.-based insurance and investment company.
  • B. GIH
    GIH is Sweden’s national university college dedicated to sports science, physical education, and health research and training.
  • C. HGS
    HGS is the National Rail station code assigned to Hastings railway station in East Sussex, England.
  • D. HGA
    HGA is a multidisciplinary architecture and engineering firm known for designing innovative, human-centered buildings and environments across sectors such as healthcare, education, and the arts.
  • E. HGF
    HGF is the National Rail station code for Hag Fold railway station in Greater Manchester, 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: HGI
Triple: [Donyi Polo Airport, IATAcode, HGI]
Generated description
HGI is the IATA airport code for Donyi Polo Airport, a regional airport serving the town of Itanagar in Arunachal Pradesh, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HGI
Target entity description: HGI is the IATA airport code for Donyi Polo Airport, a regional airport serving the town of Itanagar in Arunachal Pradesh, India.
  • A. HIG
    HIG is the stock ticker symbol for The Hartford Financial Services Group, a major U.S.-based insurance and investment company.
  • B. GIH
    GIH is Sweden’s national university college dedicated to sports science, physical education, and health research and training.
  • C. HGS
    HGS is the National Rail station code assigned to Hastings railway station in East Sussex, England.
  • D. HGA
    HGA is a multidisciplinary architecture and engineering firm known for designing innovative, human-centered buildings and environments across sectors such as healthcare, education, and the arts.
  • E. HGF
    HGF is the National Rail station code for Hag Fold railway station in Greater Manchester, 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_69ca8364e13081909c85fe80f44fe86f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc600e6e2881908934cbff0ab5d6fd completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf6fc96a8481909d09835845ccdcbf completed April 3, 2026, 7:44 a.m.
NEDg Description generation batch_69cf70c981808190856827fbcd4c4671 completed April 3, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69cf71914ec48190bd623d8d773e7ca7 completed April 3, 2026, 7:51 a.m.
Created at: March 30, 2026, 6:46 p.m.