Triple

T1338237
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam–Utrecht railway E28404 entity
Predicate passesThrough P225 FINISHED
Object Abcoude
Abcoude is a village in the Dutch province of Utrecht, just southeast of Amsterdam, known for its historic center and convenient rail connections.
 E153679 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: Abcoude | Statement: [Amsterdam–Utrecht railway, passesThrough, Abcoude]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abcoude
Context triple: [Amsterdam–Utrecht railway, passesThrough, Abcoude]
  • A. Houffalize
    Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
  • B. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • C. Haubourdin
    Haubourdin is a commune in northern France, located near Lille in the Nord department of the Hauts-de-France region.
  • D. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • E. Louvois
    Louvois was a powerful French statesman, best known as Louis XIV’s influential war minister who significantly shaped France’s military administration in the late 17th century.
  • 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: Abcoude
Triple: [Amsterdam–Utrecht railway, passesThrough, Abcoude]
Generated description
Abcoude is a village in the Dutch province of Utrecht, just southeast of Amsterdam, known for its historic center and convenient rail connections.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abcoude
Target entity description: Abcoude is a village in the Dutch province of Utrecht, just southeast of Amsterdam, known for its historic center and convenient rail connections.
  • A. Houffalize
    Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
  • B. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • C. Haubourdin
    Haubourdin is a commune in northern France, located near Lille in the Nord department of the Hauts-de-France region.
  • D. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • E. Louvois
    Louvois was a powerful French statesman, best known as Louis XIV’s influential war minister who significantly shaped France’s military administration in the late 17th century.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c2115d388190b031ae2de1296f8a completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc62e4c788190824df2a9b81692d7 completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc6ae66408190bf48fe3150a08116 completed March 8, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69acc73b92248190b723cb64046799e3 completed March 8, 2026, 12:47 a.m.
Created at: March 1, 2026, 7:56 p.m.