Triple

T6035129
Position Surface form Disambiguated ID Type / Status
Subject Tilburg E134398 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Noord
Noord is a residential neighborhood located in the Dutch city of Tilburg.
 E565105 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: Noord | Statement: [Tilburg, hasNeighbourhood, Noord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Noord
Context triple: [Tilburg, hasNeighbourhood, Noord]
  • A. Noord
    Noord is a major river in the western Netherlands that forms part of the Rhine–Meuse–Scheldt delta and serves as an important waterway for regional shipping and transport.
  • B. Noord
    Noord is the northern terminus station of Amsterdam’s North–South metro line (Line 52), serving as a key public transport hub for the city’s northern districts.
  • C. Zuid
    Zuid is a major Amsterdam railway and metro station that serves as a key transport hub in the city’s southern business district.
  • D. Noorden
    Noorden is a village in the Dutch province of South Holland, known for its rural character and surrounding lakes and peatland nature reserves.
  • E. Norra
    Norra is a Finnish regional airline that operates domestic and short-haul international flights, primarily on behalf of Finnair.
  • 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: Noord
Triple: [Tilburg, hasNeighbourhood, Noord]
Generated description
Noord is a residential neighborhood located in the Dutch city of Tilburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Noord
Target entity description: Noord is a residential neighborhood located in the Dutch city of Tilburg.
  • A. Noord
    Noord is a major river in the western Netherlands that forms part of the Rhine–Meuse–Scheldt delta and serves as an important waterway for regional shipping and transport.
  • B. Noord
    Noord is the northern terminus station of Amsterdam’s North–South metro line (Line 52), serving as a key public transport hub for the city’s northern districts.
  • C. Zuid
    Zuid is a major Amsterdam railway and metro station that serves as a key transport hub in the city’s southern business district.
  • D. Noorden
    Noorden is a village in the Dutch province of South Holland, known for its rural character and surrounding lakes and peatland nature reserves.
  • E. Norra
    Norra is a Finnish regional airline that operates domestic and short-haul international flights, primarily on behalf of Finnair.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b33a7c8190ad6282286199b192 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11388aec881908408d5844c96ea2d completed March 23, 2026, 10:18 a.m.
NEDg Description generation batch_69c11689c0788190847435b526572edc completed March 23, 2026, 10:31 a.m.
NED2 Entity disambiguation (via description) batch_69c116eb349c81908cad0bf5ccc458bc completed March 23, 2026, 10:33 a.m.
Created at: March 22, 2026, 4:08 p.m.