Triple

T6484489
Position Surface form Disambiguated ID Type / Status
Subject Clark International Airport E146474 entity
Predicate ICAOcode P419 FINISHED
Object RPLC
RPLC is the ICAO airport code for Clark International Airport, a major aviation hub in the Philippines located on the site of the former U.S. Clark Air Base.
E597148 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: RPLC | Statement: [Clark International Airport, ICAOcode, RPLC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RPLC
Context triple: [Clark International Airport, ICAOcode, RPLC]
  • A. RLC
    RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
  • B. RPL programming language
    RPL is a stack-based, reverse Polish Lisp-like programming language developed by Hewlett-Packard for its graphing calculators, combining features of RPN and structured programming.
  • C. RLP
    RLP is the vehicle registration code used for the German federal state of Rhineland-Palatinate.
  • D. CLP
    CLP is the three-letter ISO 4217 currency code for the Chilean peso, the official monetary unit of Chile.
  • E. GLP
    GLP is the three-letter ISO 3166-1 alpha-3 country code assigned to Guadeloupe, an overseas region of France in the Caribbean.
  • 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: RPLC
Triple: [Clark International Airport, ICAOcode, RPLC]
Generated description
RPLC is the ICAO airport code for Clark International Airport, a major aviation hub in the Philippines located on the site of the former U.S. Clark Air Base.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RPLC
Target entity description: RPLC is the ICAO airport code for Clark International Airport, a major aviation hub in the Philippines located on the site of the former U.S. Clark Air Base.
  • A. RLC
    RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
  • B. RPL programming language
    RPL is a stack-based, reverse Polish Lisp-like programming language developed by Hewlett-Packard for its graphing calculators, combining features of RPN and structured programming.
  • C. RLP
    RLP is the vehicle registration code used for the German federal state of Rhineland-Palatinate.
  • D. CLP
    CLP is the three-letter ISO 4217 currency code for the Chilean peso, the official monetary unit of Chile.
  • E. GLP
    GLP is the three-letter ISO 3166-1 alpha-3 country code assigned to Guadeloupe, an overseas region of France in the Caribbean.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a6de31c81909dd99d105f5bb4c2 completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653b24670819088fa8e0d7eb6f73b completed March 27, 2026, 9:53 a.m.
NEDg Description generation batch_69c655c84a7c81909bb59f9db52f5d3a completed March 27, 2026, 10:02 a.m.
NED2 Entity disambiguation (via description) batch_69c656c84ecc8190b5d0c947c27a3bb0 completed March 27, 2026, 10:07 a.m.
Created at: March 22, 2026, 4:52 p.m.