Triple

T5145894
Position Surface form Disambiguated ID Type / Status
Subject Perugia San Francesco d’Assisi – Umbria International Airport E116068 entity
Predicate IATAcode P418 FINISHED
Object PEG
PEG is the IATA airport code for Perugia San Francesco d’Assisi – Umbria International Airport in central Italy.
 E497725 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: PEG | Statement: [Perugia San Francesco d’Assisi – Umbria International Airport, IATAcode, PEG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PEG
Context triple: [Perugia San Francesco d’Assisi – Umbria International Airport, IATAcode, PEG]
  • A. 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.
  • B. PDG
    PDG is an abbreviation commonly used for the Policy Development Group, an organization focused on formulating and advising on policy matters.
  • C. PAD
    PAD is the three-letter National Rail station code for London Paddington, a major railway terminus in central London.
  • D. PET
    PET is the standard time zone used in Peru, corresponding to UTC−5 hours.
  • E. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • 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: PEG
Triple: [Perugia San Francesco d’Assisi – Umbria International Airport, IATAcode, PEG]
Generated description
PEG is the IATA airport code for Perugia San Francesco d’Assisi – Umbria International Airport in central Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PEG
Target entity description: PEG is the IATA airport code for Perugia San Francesco d’Assisi – Umbria International Airport in central Italy.
  • A. 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.
  • B. PDG
    PDG is an abbreviation commonly used for the Policy Development Group, an organization focused on formulating and advising on policy matters.
  • C. PAD
    PAD is the three-letter National Rail station code for London Paddington, a major railway terminus in central London.
  • D. PET
    PET is the standard time zone used in Peru, corresponding to UTC−5 hours.
  • E. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78ac677881909ce8632f1a8af880 completed March 20, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69becff590ec81908ed03474f21a95f5 completed March 21, 2026, 5:05 p.m.
NEDg Description generation batch_69bed254037c8190b1487b12425f8abe completed March 21, 2026, 5:16 p.m.
NED2 Entity disambiguation (via description) batch_69bed2be57108190bc3e758c34ffc34f completed March 21, 2026, 5:17 p.m.
Created at: March 20, 2026, 1:43 p.m.