Triple

T13530003
Position Surface form Disambiguated ID Type / Status
Subject Hewanorra International Airport E323107 entity
Predicate ICAOcode P419 FINISHED
Object TLPL
TLPL is the ICAO airport code for Hewanorra International Airport, the main international gateway to Saint Lucia in the Caribbean.
E1045499 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: TLPL | Statement: [Hewanorra International Airport, ICAOcode, TLPL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TLPL
Context triple: [Hewanorra International Airport, ICAOcode, TLPL]
  • A. TLCP
    TLCP is a scholarly law journal focusing on international, transnational, and comparative legal issues.
  • B. TLA
    TLA is a formal specification language developed by Leslie Lamport for describing and reasoning about concurrent and distributed systems using temporal logic.
  • C. TLT
    TLT is the time zone abbreviation used for Timor Leste Time, the standard time observed in East Timor.
  • D. TLT
    TLT is the IATA airport code for the small public airport serving the remote community of Tuluksak in western Alaska.
  • E. TLG
    TLG is the abbreviation for the Technical Liaison Group, a coordinating body that facilitates communication and collaboration among various technical standards organizations.
  • 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: TLPL
Triple: [Hewanorra International Airport, ICAOcode, TLPL]
Generated description
TLPL is the ICAO airport code for Hewanorra International Airport, the main international gateway to Saint Lucia in the Caribbean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TLPL
Target entity description: TLPL is the ICAO airport code for Hewanorra International Airport, the main international gateway to Saint Lucia in the Caribbean.
  • A. TLCP
    TLCP is a scholarly law journal focusing on international, transnational, and comparative legal issues.
  • B. TLA
    TLA is a formal specification language developed by Leslie Lamport for describing and reasoning about concurrent and distributed systems using temporal logic.
  • C. TLT
    TLT is the time zone abbreviation used for Timor Leste Time, the standard time observed in East Timor.
  • D. TLT
    TLT is the IATA airport code for the small public airport serving the remote community of Tuluksak in western Alaska.
  • E. TLG
    TLG is the abbreviation for the Technical Liaison Group, a coordinating body that facilitates communication and collaboration among various technical standards organizations.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafba2c308190873efd15dfe26358 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7549fc5f881908691eb62c1f5a5d5 completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f7565846108190bb6550505af8ac5d completed May 3, 2026, 2:06 p.m.
NED2 Entity disambiguation (via description) batch_69f75a2107e081909fd00af67938f2e9 completed May 3, 2026, 2:22 p.m.
Created at: April 9, 2026, 9:44 p.m.