Triple

T580600
Position Surface form Disambiguated ID Type / Status
Subject Binnenhof E15047 entity
Predicate hasPart P35 FINISHED
Object Trêveszaal
Trêveszaal is a historic meeting room in The Hague’s Binnenhof complex, traditionally used for Dutch government council meetings and important political deliberations.
E73481 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: Trêveszaal | Statement: [Binnenhof, hasPart, Trêveszaal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trêveszaal
Context triple: [Binnenhof, hasPart, Trêveszaal]
  • A. Weethalle
    Weethalle is a small rural town in the Riverina region of New South Wales, Australia, known for its grain farming and wheat production.
  • B. Ridderzaal
    Ridderzaal is a historic Gothic hall in The Hague, Netherlands, used for important state ceremonies such as the annual opening of Parliament.
  • C. Herkinge
    Herkinge is a small settlement located in the Dutch province of South Holland.
  • D. Breselenz
    Breselenz is a small village in Lower Saxony, Germany, best known as the birthplace of the mathematician Bernhard Riemann.
  • E. Ruckelshaus
    Ruckelshaus is the surname of William D. Ruckelshaus, a prominent American lawyer and public official best known as the first head of the U.S. Environmental Protection Agency and a key figure in the Watergate-era "Saturday Night Massacre."
  • 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: Trêveszaal
Triple: [Binnenhof, hasPart, Trêveszaal]
Generated description
Trêveszaal is a historic meeting room in The Hague’s Binnenhof complex, traditionally used for Dutch government council meetings and important political deliberations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Trêveszaal
Target entity description: Trêveszaal is a historic meeting room in The Hague’s Binnenhof complex, traditionally used for Dutch government council meetings and important political deliberations.
  • A. Weethalle
    Weethalle is a small rural town in the Riverina region of New South Wales, Australia, known for its grain farming and wheat production.
  • B. Ridderzaal
    Ridderzaal is a historic Gothic hall in The Hague, Netherlands, used for important state ceremonies such as the annual opening of Parliament.
  • C. Herkinge
    Herkinge is a small settlement located in the Dutch province of South Holland.
  • D. Breselenz
    Breselenz is a small village in Lower Saxony, Germany, best known as the birthplace of the mathematician Bernhard Riemann.
  • E. Ruckelshaus
    Ruckelshaus is the surname of William D. Ruckelshaus, a prominent American lawyer and public official best known as the first head of the U.S. Environmental Protection Agency and a key figure in the Watergate-era "Saturday Night Massacre."
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b82b5248190ac863407e8207a3b completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a510380e048190b2f8f08abf07a594 completed March 2, 2026, 4:21 a.m.
NEDg Description generation batch_69a510af351c8190aa40f108595bc47a completed March 2, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_69a511302c34819085eb7e180ccb1a61 completed March 2, 2026, 4:25 a.m.
Created at: March 1, 2026, 7:33 p.m.