Triple

T9682612
Position Surface form Disambiguated ID Type / Status
Subject José Aponte de la Torre Airport E234321 entity
Predicate IATAcode P418 FINISHED
Object NRR
NRR is the IATA airport code for José Aponte de la Torre Airport, a public airport serving the Ceiba region in Puerto Rico.
 E814683 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: NRR | Statement: [José Aponte de la Torre Airport, IATAcode, NRR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NRR
Context triple: [José Aponte de la Torre Airport, IATAcode, NRR]
  • A. NR
    NR is the common abbreviation for New Relic, a cloud-based observability and application performance monitoring platform used by developers and IT operations teams.
  • B. NR
    NR is the commonly used abbreviation for the Nordic Council, a regional inter-parliamentary body for cooperation among the Nordic countries.
  • C. NR
    NR is the two-letter ISO 3166-1 alpha-2 country code assigned to the Republic of Nauru.
  • D. NR
    NR is the U.S. Navy’s Office of Naval Reactors, the organization responsible for the design, operation, and safety of naval nuclear propulsion systems.
  • E. NR
    NR is the radio access technology standard defined by 3GPP for fifth-generation (5G) mobile networks, enabling high-speed, low-latency wireless communication.
  • 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: NRR
Triple: [José Aponte de la Torre Airport, IATAcode, NRR]
Generated description
NRR is the IATA airport code for José Aponte de la Torre Airport, a public airport serving the Ceiba region in Puerto Rico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NRR
Target entity description: NRR is the IATA airport code for José Aponte de la Torre Airport, a public airport serving the Ceiba region in Puerto Rico.
  • A. NR
    NR is the common abbreviation for New Relic, a cloud-based observability and application performance monitoring platform used by developers and IT operations teams.
  • B. NR
    NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
  • C. NR
    NR is the commonly used abbreviation for the Nordic Council, a regional inter-parliamentary body for cooperation among the Nordic countries.
  • D. NR
    NR is the two-letter ISO 3166-1 alpha-2 country code assigned to the Republic of Nauru.
  • E. NR
    NR is the U.S. Navy’s Office of Naval Reactors, the organization responsible for the design, operation, and safety of naval nuclear propulsion systems.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ccdbcc48190a4a9a70b3f419ac2 completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1910192e88190b10409ae62c1c948 completed April 4, 2026, 10:30 p.m.
NEDg Description generation batch_69d19327f0b481908be85bcb0deccb46 completed April 4, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_69d193fac390819092dd913dc78e2841 completed April 4, 2026, 10:43 p.m.
Created at: March 30, 2026, 8:16 p.m.