Triple

T5079132
Position Surface form Disambiguated ID Type / Status
Subject Metro line 52 E114471 entity
Predicate hasStation P35 FINISHED
Object Noorderpark
Noorderpark is a metro station in Amsterdam located on the city’s North–South Line (Line 52), serving the surrounding Noorderpark area.
 E497537 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: Noorderpark | Statement: [Metro line 52, hasStation, Noorderpark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Noorderpark
Context triple: [Metro line 52, hasStation, Noorderpark]
  • A. Oosterpark
    Oosterpark is a large public park in Amsterdam known for its ponds, walking paths, cultural monuments, and diverse, lively atmosphere.
  • B. Oranjewoud
    Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
  • C. Krimpenerwaard
    Krimpenerwaard is a rural municipality in the Dutch province of South Holland, known for its polder landscapes, dikes, and traditional villages between the rivers Lek and Hollandse IJssel.
  • D. Gaasperplas
    Gaasperplas is a lake and recreational area in the southeastern part of Amsterdam, known for its park, beach, and water activities.
  • E. Soestdijk
    Soestdijk is a village in the Netherlands known for its historic royal residence, Soestdijk Palace.
  • 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: Noorderpark
Triple: [Metro line 52, hasStation, Noorderpark]
Generated description
Noorderpark is a metro station in Amsterdam located on the city’s North–South Line (Line 52), serving the surrounding Noorderpark area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Noorderpark
Target entity description: Noorderpark is a metro station in Amsterdam located on the city’s North–South Line (Line 52), serving the surrounding Noorderpark area.
  • A. Oosterpark
    Oosterpark is a large public park in Amsterdam known for its ponds, walking paths, cultural monuments, and diverse, lively atmosphere.
  • B. Oranjewoud
    Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
  • C. Krimpenerwaard
    Krimpenerwaard is a rural municipality in the Dutch province of South Holland, known for its polder landscapes, dikes, and traditional villages between the rivers Lek and Hollandse IJssel.
  • D. Gaasperplas
    Gaasperplas is a lake and recreational area in the southeastern part of Amsterdam, known for its park, beach, and water activities.
  • E. Soestdijk
    Soestdijk is a village in the Netherlands known for its historic royal residence, Soestdijk Palace.
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74f75cf0819088be9e076eaf3168 completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfbfe2bc81909758cad44baf809e completed March 21, 2026, 5:05 p.m.
NEDg Description generation batch_69bed17faa408190bf3301d8159beffe completed March 21, 2026, 5:12 p.m.
NED2 Entity disambiguation (via description) batch_69bed2303df881908260b27d430f16fc completed March 21, 2026, 5:15 p.m.
Created at: March 20, 2026, 1:39 p.m.