Triple

T22216448
Position Surface form Disambiguated ID Type / Status
Subject Awang Airport E549084 entity
Predicate ICAOCode P419 FINISHED
Object RPMC
RPMC is the ICAO airport code assigned to Awang Airport in the Philippines.
 E1526349 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: RPMC | Statement: [Awang Airport, ICAOCode, RPMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RPMC
Context triple: [Awang Airport, ICAOCode, RPMC]
  • A. RMC
    RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
  • B. RMC
    RMC is the National Rail station code for Rotherham Central railway station in South Yorkshire, England.
  • C. PMC
    PMC is the commonly used abbreviation for Pauli Murray College, a residential college at Yale University named after civil rights activist and legal scholar Pauli Murray.
  • D. PMC
    PMC is the widely used abbreviation for PubMed Central, a free digital archive of biomedical and life sciences journal literature maintained by the U.S. National Institutes of Health.
  • E. PMC
    PMC is the IATA airport code for El Tepual International Airport serving Puerto Montt in southern Chile.
  • 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: RPMC
Triple: [Awang Airport, ICAOCode, RPMC]
Generated description
RPMC is the ICAO airport code assigned to Awang Airport in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RPMC
Target entity description: RPMC is the ICAO airport code assigned to Awang Airport in the Philippines.
  • A. RMC
    RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
  • B. RMC
    RMC is the National Rail station code for Rotherham Central railway station in South Yorkshire, England.
  • C. PMC
    PMC is the commonly used abbreviation for Pauli Murray College, a residential college at Yale University named after civil rights activist and legal scholar Pauli Murray.
  • D. PMC
    PMC is the IATA airport code for El Tepual International Airport serving Puerto Montt in southern Chile.
  • E. PMC
    PMC is the widely used abbreviation for PubMed Central, a free digital archive of biomedical and life sciences journal literature maintained by the U.S. National Institutes of Health.
  • 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b8c9d488190a59f571862997304 completed April 28, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aae692a108190ad7156d9b3c72901 completed May 18, 2026, 6:15 a.m.
NEDg Description generation batch_6a0ab28bc764819083ba5f419d288eab completed May 18, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab32113748190bfd86bcffcf06b76 completed May 18, 2026, 6:35 a.m.
Created at: April 16, 2026, 8:37 p.m.