Triple

T9020825
Position Surface form Disambiguated ID Type / Status
Subject Ostend–Bruges International Airport E215716 entity
Predicate IATAcode P418 FINISHED
Object OST
OST is the IATA airport code for Ostend–Bruges International Airport, a regional airport in Belgium serving the coastal city of Ostend and the historic city of Bruges.
E773654 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: OST | Statement: [Ostend–Bruges International Airport, IATAcode, OST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OST
Context triple: [Ostend–Bruges International Airport, IATAcode, OST]
  • A. OUS
    OUS is the abbreviation for the Oregon University System, the former governing body for public universities in the U.S. state of Oregon.
  • B. OTO
    OTO was the former name of Oto Melara, an Italian defense company known for producing naval guns, artillery systems, and other military equipment.
  • C. EO
    EO is the IATA airline designator assigned to Pegas Fly, a Russian passenger airline.
  • D. OT
    OT is the commonly used abbreviation for the Teide Observatory, a major astronomical research facility located on Tenerife in Spain’s Canary Islands.
  • E. OT
    OT is the abbreviation for Organisation Todt, the Nazi-era civil and military engineering group responsible for large-scale construction projects such as the Atlantic Wall.
  • 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: OST
Triple: [Ostend–Bruges International Airport, IATAcode, OST]
Generated description
OST is the IATA airport code for Ostend–Bruges International Airport, a regional airport in Belgium serving the coastal city of Ostend and the historic city of Bruges.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OST
Target entity description: OST is the IATA airport code for Ostend–Bruges International Airport, a regional airport in Belgium serving the coastal city of Ostend and the historic city of Bruges.
  • A. OUS
    OUS is the abbreviation for the Oregon University System, the former governing body for public universities in the U.S. state of Oregon.
  • B. OTO
    OTO was the former name of Oto Melara, an Italian defense company known for producing naval guns, artillery systems, and other military equipment.
  • C. EO
    EO is the IATA airline designator assigned to Pegas Fly, a Russian passenger airline.
  • D. OT
    OT is the commonly used abbreviation for the Teide Observatory, a major astronomical research facility located on Tenerife in Spain’s Canary Islands.
  • E. OT
    OT is the abbreviation for Organisation Todt, the Nazi-era civil and military engineering group responsible for large-scale construction projects such as the Atlantic Wall.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a43add08190983b7ac88576fd7e completed April 1, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbb92ffc81909de907f2bb64dd58 completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdc9868fc8190addad6b87b567277 completed April 3, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69cfe0aafe4c81908a5b31590f6c9152 completed April 3, 2026, 3:45 p.m.
Created at: March 30, 2026, 7:07 p.m.