Triple

T1702511
Position Surface form Disambiguated ID Type / Status
Subject Brussels Airport E36797 entity
Predicate hasPier P15921 FINISHED
Object Pier B
Pier B is one of the main passenger boarding concourses at Brussels Airport, primarily serving non-Schengen and long-haul international flights.
 E198639 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: Pier B | Statement: [Brussels Airport, hasPier, Pier B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pier B
Context triple: [Brussels Airport, hasPier, Pier B]
  • A. Pier A
    Pier A is a major passenger terminal concourse at Brussels Airport primarily serving Schengen and some non-Schengen flights.
  • B. B Pier
    B Pier is one of the passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for arriving and departing flights.
  • C. Pier
    Pier is a given name, commonly used in various European countries, that is derived from the name Pierre or Peter.
  • D. C Pier
    C Pier is one of the passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for arriving and departing flights.
  • E. H Pier
    H Pier is one of the passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for international flights.
  • 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: Pier B
Triple: [Brussels Airport, hasPier, Pier B]
Generated description
Pier B is one of the main passenger boarding concourses at Brussels Airport, primarily serving non-Schengen and long-haul international flights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pier B
Target entity description: Pier B is one of the main passenger boarding concourses at Brussels Airport, primarily serving non-Schengen and long-haul international flights.
  • A. Pier A
    Pier A is a major passenger terminal concourse at Brussels Airport primarily serving Schengen and some non-Schengen flights.
  • B. B Pier
    B Pier is one of the passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for arriving and departing flights.
  • C. Pier
    Pier is a given name, commonly used in various European countries, that is derived from the name Pierre or Peter.
  • D. C Pier
    C Pier is one of the passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for arriving and departing flights.
  • E. H Pier
    H Pier is one of the passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for international flights.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62f0eb408190809d1f6496d38e0b completed March 6, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada97a55948190b4c58503d53132f0 completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adaab1fb6881908e0711ae1b69e2e5 completed March 8, 2026, 4:58 p.m.
NED2 Entity disambiguation (via description) batch_69adae9fdd3081908b1d9d7335cab1bd completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:30 p.m.