Triple

T4938019
Position Surface form Disambiguated ID Type / Status
Subject Rota International Airport E110859 entity
Predicate IATAcode P418 FINISHED
Object ROP
ROP is the IATA airport code for Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
E481713 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: ROP | Statement: [Rota International Airport, IATAcode, ROP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ROP
Context triple: [Rota International Airport, IATAcode, ROP]
  • A. RP
    RP is the former IATA airline designator assigned to Chautauqua Airlines, a now-defunct regional carrier in the United States.
  • B. RP
    RP is the prestige British English accent traditionally associated with educated speakers and national broadcasters in the United Kingdom.
  • C. ROL
    ROL was the former ISO 4217 currency code for the old Romanian leu used before the 2005 currency redenomination in Romania.
  • D. RO
    RO is the IATA airline designator assigned to TAROM, the flag carrier airline of Romania.
  • E. RO
    RO is the stock ticker symbol for Roche, the multinational Swiss healthcare and pharmaceutical company.
  • 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: ROP
Triple: [Rota International Airport, IATAcode, ROP]
Generated description
ROP is the IATA airport code for Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ROP
Target entity description: ROP is the IATA airport code for Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
  • A. RP
    RP is the former IATA airline designator assigned to Chautauqua Airlines, a now-defunct regional carrier in the United States.
  • B. RP
    RP is the prestige British English accent traditionally associated with educated speakers and national broadcasters in the United Kingdom.
  • C. ROL
    ROL was the former ISO 4217 currency code for the old Romanian leu used before the 2005 currency redenomination in Romania.
  • D. RO
    RO is the IATA airline designator assigned to TAROM, the flag carrier airline of Romania.
  • E. RO
    RO is the stock ticker symbol for Roche, the multinational Swiss healthcare and pharmaceutical company.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70872270819080769dad972681ef completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77bcb8d881908d393223bdea145a completed March 21, 2026, 10:49 a.m.
NEDg Description generation batch_69be78747f3881908afe9cf276216bc5 completed March 21, 2026, 10:52 a.m.
NED2 Entity disambiguation (via description) batch_69be78d03aec81909a2470306ba90cb0 completed March 21, 2026, 10:54 a.m.
Created at: March 20, 2026, 1:31 p.m.