Triple

T9079574
Position Surface form Disambiguated ID Type / Status
Subject Rafael Hernández Airport E217581 entity
Predicate hasICAOcode P419 FINISHED
Object TJBQ
TJBQ is the ICAO airport code for Rafael Hernández Airport, a public international airport serving Aguadilla in Puerto Rico.
E776291 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: TJBQ | Statement: [Rafael Hernández Airport, hasICAOcode, TJBQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TJBQ
Context triple: [Rafael Hernández Airport, hasICAOcode, TJBQ]
  • A. BQJ
    BQJ is the IATA airport code for Batagay Airport serving the settlement of Batagay in Russia’s Sakha Republic.
  • B. TQG
    "TQG" is a 2023 reggaeton-pop collaboration between Shakira and Karol G known for its themes of empowerment and post-breakup resilience.
  • C. TJVQ
    TJVQ is the ICAO airport code for Antonio Rivera Rodríguez Airport, a public airport serving the island of Vieques in Puerto Rico.
  • D. TJSJ
    TJSJ is the ICAO airport code for Luis Muñoz Marín International Airport, the main commercial airport serving San Juan, Puerto Rico.
  • E. TJT
    TJT is the time zone used in Tajikistan, corresponding to Tajikistan Time (UTC+5).
  • 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: TJBQ
Triple: [Rafael Hernández Airport, hasICAOcode, TJBQ]
Generated description
TJBQ is the ICAO airport code for Rafael Hernández Airport, a public international airport serving Aguadilla in Puerto Rico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TJBQ
Target entity description: TJBQ is the ICAO airport code for Rafael Hernández Airport, a public international airport serving Aguadilla in Puerto Rico.
  • A. BQJ
    BQJ is the IATA airport code for Batagay Airport serving the settlement of Batagay in Russia’s Sakha Republic.
  • B. TQG
    "TQG" is a 2023 reggaeton-pop collaboration between Shakira and Karol G known for its themes of empowerment and post-breakup resilience.
  • C. TJVQ
    TJVQ is the ICAO airport code for Antonio Rivera Rodríguez Airport, a public airport serving the island of Vieques in Puerto Rico.
  • D. TJSJ
    TJSJ is the ICAO airport code for Luis Muñoz Marín International Airport, the main commercial airport serving San Juan, Puerto Rico.
  • E. TJT
    TJT is the time zone used in Tajikistan, corresponding to Tajikistan Time (UTC+5).
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc95c93ee48190842623b57e50f4cf completed April 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe2103448190bbc09436f19c4f11 completed April 3, 2026, 5:51 p.m.
NEDg Description generation batch_69d000d4a4548190939a9a9946be469b completed April 3, 2026, 6:03 p.m.
NED2 Entity disambiguation (via description) batch_69d001b245f08190a8e5c53c570b20a0 completed April 3, 2026, 6:06 p.m.
Created at: March 30, 2026, 7:12 p.m.