Triple

T19068102
Position Surface form Disambiguated ID Type / Status
Subject Ohrid St. Paul the Apostle Airport E466718 entity
Predicate ICAOcode P419 FINISHED
Object LWOH
LWOH is the ICAO airport code for Ohrid St. Paul the Apostle Airport in North Macedonia.
 E1357465 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: LWOH | Statement: [Ohrid St. Paul the Apostle Airport, ICAOcode, LWOH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LWOH
Context triple: [Ohrid St. Paul the Apostle Airport, ICAOcode, LWOH]
  • A. WLO
    WLO is the National Rail station code used to identify London Waterloo Underground station in the UK rail network.
  • B. LW
    LW is the station code used to identify Lawrence West station on Toronto's subway system.
  • C. LWF
    LWF is the commonly used abbreviation for the Lutheran World Federation, a global communion of Lutheran churches engaged in theology, humanitarian work, and advocacy.
  • D. WOAH
    WOAH is the acronym for the World Organisation for Animal Health, an intergovernmental body that sets international standards for animal health and welfare.
  • E. LÖ
    LÖ is the vehicle registration code for the district of Lörrach in the German state of Baden-Württemberg.
  • 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: LWOH
Triple: [Ohrid St. Paul the Apostle Airport, ICAOcode, LWOH]
Generated description
LWOH is the ICAO airport code for Ohrid St. Paul the Apostle Airport in North Macedonia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LWOH
Target entity description: LWOH is the ICAO airport code for Ohrid St. Paul the Apostle Airport in North Macedonia.
  • A. WLO
    WLO is the National Rail station code used to identify London Waterloo Underground station in the UK rail network.
  • B. LW
    LW is the station code used to identify Lawrence West station on Toronto's subway system.
  • C. LWF
    LWF is the commonly used abbreviation for the Lutheran World Federation, a global communion of Lutheran churches engaged in theology, humanitarian work, and advocacy.
  • D. WOAH
    WOAH is the acronym for the World Organisation for Animal Health, an intergovernmental body that sets international standards for animal health and welfare.
  • E. LÖ
    LÖ is the vehicle registration code for the district of Lörrach in the German state of Baden-Württemberg.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e19b94d08190865b62d98f718bb0 completed April 20, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05d35a706c8190a658d1b145db8a31 completed May 14, 2026, 1:51 p.m.
NEDg Description generation batch_6a05d68590c88190a17da95cc59869e2 completed May 14, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_6a05d724aa948190876a09d6cc264dee completed May 14, 2026, 2:07 p.m.
Created at: April 10, 2026, 12:03 p.m.