Triple

T19017226
Position Surface form Disambiguated ID Type / Status
Subject Fort McMurray International Airport E465382 entity
Predicate UNLOCODE P1800 FINISHED
Object CAYMM
CAYMM is the UN/LOCODE identifier used in international trade and transport systems for Fort McMurray International Airport in Alberta, Canada.
E1354518 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: CAYMM | Statement: [Fort McMurray International Airport, UNLOCODE, CAYMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CAYMM
Context triple: [Fort McMurray International Airport, UNLOCODE, CAYMM]
  • A. CYAM
    CYAM is the ICAO airport code for Sault Ste. Marie Airport in Ontario, Canada.
  • B. CAYOW
    CAYOW is the UN/LOCODE identifying Ottawa Macdonald–Cartier International Airport in Ottawa, Canada.
  • C. MYAM
    MYAM is the ICAO airport code for Leonard M. Thompson International Airport, a public airport serving Marsh Harbour in the Abaco Islands of the Bahamas.
  • D. CAMI
    CAMI is the abbreviated name for the Council of Arab Ministers of Interior, a regional body coordinating interior and security policies among Arab states.
  • E. CYEM
    CYEM is the ICAO airport code for Manitoulin East Municipal Airport, a public airport serving Manitoulin Island in Ontario, Canada.
  • 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: CAYMM
Triple: [Fort McMurray International Airport, UNLOCODE, CAYMM]
Generated description
CAYMM is the UN/LOCODE identifier used in international trade and transport systems for Fort McMurray International Airport in Alberta, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CAYMM
Target entity description: CAYMM is the UN/LOCODE identifier used in international trade and transport systems for Fort McMurray International Airport in Alberta, Canada.
  • A. CYAM
    CYAM is the ICAO airport code for Sault Ste. Marie Airport in Ontario, Canada.
  • B. CAYOW
    CAYOW is the UN/LOCODE identifying Ottawa Macdonald–Cartier International Airport in Ottawa, Canada.
  • C. MYAM
    MYAM is the ICAO airport code for Leonard M. Thompson International Airport, a public airport serving Marsh Harbour in the Abaco Islands of the Bahamas.
  • D. CAMI
    CAMI is the abbreviated name for the Council of Arab Ministers of Interior, a regional body coordinating interior and security policies among Arab states.
  • E. CYEM
    CYEM is the ICAO airport code for Manitoulin East Municipal Airport, a public airport serving Manitoulin Island in Ontario, Canada.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6dc0f9081909cddc5186603e885 completed April 20, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05be504c248190ac0aeea678ea5c67 completed May 14, 2026, 12:21 p.m.
NEDg Description generation batch_6a05bf8691f08190baa0e97f588973cb completed May 14, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_6a05bff32d088190b60ecf78f97848b9 completed May 14, 2026, 12:28 p.m.
Created at: April 10, 2026, 12:02 p.m.