Triple

T5371406
Position Surface form Disambiguated ID Type / Status
Subject Perpignan–Rivesaltes Airport E108857 entity
Predicate IATAcode P418 FINISHED
Object PGF
PGF is the IATA airport code for Perpignan–Rivesaltes Airport in southern France.
E516247 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: PGF | Statement: [Perpignan–Rivesaltes Airport, IATAcode, PGF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PGF
Context triple: [Perpignan–Rivesaltes Airport, IATAcode, PGF]
  • A. PDG
    PDG is an abbreviation commonly used for the Policy Development Group, an organization focused on formulating and advising on policy matters.
  • B. PNG
    PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
  • C. PEG
    PEG is the IATA airport code for Perugia San Francesco d’Assisi – Umbria International Airport in central Italy.
  • D. PEG
    PEG is the stock ticker symbol for Public Service Enterprise Group, a major U.S. energy company primarily involved in regulated electric and gas utility operations and power generation.
  • E. PGFD
    PGFD is the fire and emergency medical services agency serving Prince George’s County, Maryland.
  • 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: PGF
Triple: [Perpignan–Rivesaltes Airport, IATAcode, PGF]
Generated description
PGF is the IATA airport code for Perpignan–Rivesaltes Airport in southern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PGF
Target entity description: PGF is the IATA airport code for Perpignan–Rivesaltes Airport in southern France.
  • A. PDG
    PDG is an abbreviation commonly used for the Policy Development Group, an organization focused on formulating and advising on policy matters.
  • B. PNG
    PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
  • C. PEG
    PEG is the stock ticker symbol for Public Service Enterprise Group, a major U.S. energy company primarily involved in regulated electric and gas utility operations and power generation.
  • D. PEG
    PEG is the IATA airport code for Perugia San Francesco d’Assisi – Umbria International Airport in central Italy.
  • E. PGFD
    PGFD is the fire and emergency medical services agency serving Prince George’s County, Maryland.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86aa0f5c8190ba96554e75696f8e completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf29347a18819083115fe68db8e708 completed March 21, 2026, 11:26 p.m.
NEDg Description generation batch_69bf2a23ba1881909ddc549728bbc2d3 completed March 21, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69bf2e6d5f9081908327dff0058241f0 completed March 21, 2026, 11:49 p.m.
Created at: March 20, 2026, 2:02 p.m.