Triple

T7749165
Position Surface form Disambiguated ID Type / Status
Subject Pisa International Airport E175709 entity
Predicate IATAcode P418 FINISHED
Object PSA
PSA is the three-letter IATA airport code for Pisa International Airport in Pisa, Italy.
 E686296 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: PSA | Statement: [Pisa International Airport, IATAcode, PSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PSA
Context triple: [Pisa International Airport, IATAcode, PSA]
  • A. PSA
    The PSA is a landmark U.S. federal law enacted in 1921 to regulate fair competition and trade practices in the livestock, meatpacking, and poultry industries.
  • B. PSA
    PSA is the major port operator and logistics company that manages and develops Singapore’s world-leading container terminals.
  • C. PSS
    PSS is the French and Italian abbreviation for the Social Democratic Party of Switzerland, a major center-left political party advocating social justice and welfare policies.
  • D. PSB
    PSB is the division of the New York City Police Department responsible for overseeing and coordinating the city’s uniformed patrol operations across its precincts and boroughs.
  • E. PSB
    PSB is Adobe Photoshop’s large document file format designed to handle images exceeding the size and layer limits of standard PSD files.
  • 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: PSA
Triple: [Pisa International Airport, IATAcode, PSA]
Generated description
PSA is the three-letter IATA airport code for Pisa International Airport in Pisa, Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PSA
Target entity description: PSA is the three-letter IATA airport code for Pisa International Airport in Pisa, Italy.
  • A. PSA
    The PSA is a landmark U.S. federal law enacted in 1921 to regulate fair competition and trade practices in the livestock, meatpacking, and poultry industries.
  • B. PSA
    PSA is the major port operator and logistics company that manages and develops Singapore’s world-leading container terminals.
  • C. PSS
    PSS is the French and Italian abbreviation for the Social Democratic Party of Switzerland, a major center-left political party advocating social justice and welfare policies.
  • D. PSB
    PSB is the division of the New York City Police Department responsible for overseeing and coordinating the city’s uniformed patrol operations across its precincts and boroughs.
  • E. PSB
    PSB is Adobe Photoshop’s large document file format designed to handle images exceeding the size and layer limits of standard PSD files.
  • 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_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703b13af08190b110104fe96ef91e completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be53b3788190a850ce1aaaac3aaa completed March 29, 2026, 5:53 a.m.
NEDg Description generation batch_69c8c235b1748190b6c17c5975e2eb9b completed March 29, 2026, 6:09 a.m.
NED2 Entity disambiguation (via description) batch_69c8c2f1dd508190853065d9e4e331b2 completed March 29, 2026, 6:13 a.m.
Created at: March 27, 2026, 4:08 p.m.