Triple

T15508539
Position Surface form Disambiguated ID Type / Status
Subject Bodø Airport E379144 entity
Predicate ICAOcode P419 FINISHED
Object ENBO
ENBO is the ICAO airport code for Bodø Airport, a major civil and military airport in Bodø, Norway.
 E1161084 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: ENBO | Statement: [Bodø Airport, ICAOcode, ENBO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ENBO
Context triple: [Bodø Airport, ICAOcode, ENBO]
  • A. EBOH
    EBOH is an academic department focused on research and training in epidemiology, biostatistics, and occupational health.
  • B. EBOS
    EBOS is the ICAO airport code for Ostend–Bruges International Airport in Belgium, a regional hub for cargo and passenger flights.
  • C. ENK
    ENK is the ICAO airline designator assigned to Equair, an Ecuadorian commercial airline.
  • D. ENBR
    ENBR is the ICAO airport code for Bergen Airport, Flesland, the main international airport serving Bergen, Norway.
  • E. EKBO
    EKBO is the German abbreviation for the Evangelical Church of Berlin-Brandenburg-Silesian Upper Lusatia, a regional Protestant church body within the Evangelical Church in Germany (EKD).
  • 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: ENBO
Triple: [Bodø Airport, ICAOcode, ENBO]
Generated description
ENBO is the ICAO airport code for Bodø Airport, a major civil and military airport in Bodø, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ENBO
Target entity description: ENBO is the ICAO airport code for Bodø Airport, a major civil and military airport in Bodø, Norway.
  • A. EBOH
    EBOH is an academic department focused on research and training in epidemiology, biostatistics, and occupational health.
  • B. EBOS
    EBOS is the ICAO airport code for Ostend–Bruges International Airport in Belgium, a regional hub for cargo and passenger flights.
  • C. ENK
    ENK is the ICAO airline designator assigned to Equair, an Ecuadorian commercial airline.
  • D. ENBR
    ENBR is the ICAO airport code for Bergen Airport, Flesland, the main international airport serving Bergen, Norway.
  • E. EKBO
    EKBO is the German abbreviation for the Evangelical Church of Berlin-Brandenburg-Silesian Upper Lusatia, a regional Protestant church body within the Evangelical Church in Germany (EKD).
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fd008708190a3657863eb9ac626 completed April 16, 2026, 1:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff366e472c819093472da2a49593c6 completed May 9, 2026, 1:28 p.m.
NEDg Description generation batch_69ff38053b508190827b8dc967e8ab09 completed May 9, 2026, 1:35 p.m.
NED2 Entity disambiguation (via description) batch_69ff390304ac81909e82e908e5d3ea3c completed May 9, 2026, 1:39 p.m.
Created at: April 10, 2026, 3:55 a.m.