Triple

T515259
Position Surface form Disambiguated ID Type / Status
Subject Dam Square E10692 entity
Predicate hasDutchName P744 FINISHED
Object De Dam
De Dam is Amsterdam’s central and historic main square, known for its royal palace, national monument, and role as a major public gathering place.
 E65568 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: De Dam | Statement: [Dam Square, hasDutchName, De Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: De Dam
Context triple: [Dam Square, hasDutchName, De Dam]
  • A. Leven
    Leven is a coastal town in eastern Scotland, situated on the Firth of Forth in the council area of Fife.
  • B. Waal
    The Waal is a major distributary branch of the Rhine River in the Netherlands, serving as an important waterway for shipping and part of the country’s main river system.
  • C. Magdalena
    Magdalena is the given first name of Swedish opera singer and environmental activist Malena Ernman.
  • D. Kostverlorenvaart
    Kostverlorenvaart is a canal in Amsterdam that connects the city's western waterways with the River Amstel and the IJ.
  • E. Grevelingendam
    Grevelingendam is a major dam in the southwestern Netherlands that forms part of the Delta Works, protecting the Rhine–Meuse–Scheldt delta from flooding while separating the Grevelingenmeer from the North Sea.
  • 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: De Dam
Triple: [Dam Square, hasDutchName, De Dam]
Generated description
De Dam is Amsterdam’s central and historic main square, known for its royal palace, national monument, and role as a major public gathering place.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: De Dam
Target entity description: De Dam is Amsterdam’s central and historic main square, known for its royal palace, national monument, and role as a major public gathering place.
  • A. Leven
    Leven is a coastal town in eastern Scotland, situated on the Firth of Forth in the council area of Fife.
  • B. Waal
    The Waal is a major distributary branch of the Rhine River in the Netherlands, serving as an important waterway for shipping and part of the country’s main river system.
  • C. Magdalena
    Magdalena is the given first name of Swedish opera singer and environmental activist Malena Ernman.
  • D. Kostverlorenvaart
    Kostverlorenvaart is a canal in Amsterdam that connects the city's western waterways with the River Amstel and the IJ.
  • E. Grevelingendam
    Grevelingendam is a major dam in the southwestern Netherlands that forms part of the Delta Works, protecting the Rhine–Meuse–Scheldt delta from flooding while separating the Grevelingenmeer from the North Sea.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1836b688190a60cc901a8724159 completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b23bf69481908db3a0f3de8c2bf1 completed March 1, 2026, 9:40 p.m.
NEDg Description generation batch_69a4b2c975ec8190bc16f146f89c3f05 completed March 1, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_69a4b343f8f88190bd011924dd485bef completed March 1, 2026, 9:44 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.