Triple

T32233897
Position Surface form Disambiguated ID Type / Status
Subject Barend Biesheuvel E823412 entity
Predicate residenceWhilePrimeMinister P34202 FINISHED
Object Catshuis, The Hague
Catshuis in The Hague is the official residence of the Prime Minister of the Netherlands and a key location for high-level government meetings and consultations.
 E1997260 NE FINISHED

How this triple was built (3 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: Catshuis, The Hague | Statement: [Barend Biesheuvel, residenceWhilePrimeMinister, Catshuis, The Hague]
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: Catshuis, The Hague
Triple: [Barend Biesheuvel, residenceWhilePrimeMinister, Catshuis, The Hague]
Generated description
Catshuis in The Hague is the official residence of the Prime Minister of the Netherlands and a key location for high-level government meetings and consultations.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: residenceWhilePrimeMinister
Context triple: [Barend Biesheuvel, residenceWhilePrimeMinister, Catshuis, The Hague]
  • A. residenceWhileInOffice chosen
    Indicates the place where a person lives or is officially resident during the period they hold a particular office or position.
  • B. startDateAsPrimeMinisterResidence
    Indicates the date on which an individual began serving as prime minister at a particular official residence.
  • C. residenceDuringUNTerm
    Indicates the location where a person resided during the period they served in a United Nations–related role or term.
  • D. firstPrimeMinisterResident
    Indicates that the subject is the first prime minister who resided at the specified location.
  • E. officeHeldAsPrimeMinister
    Indicates that an individual holds or has held the specific office or position of Prime Minister.
  • F. None of above.

Provenance (6 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_69f3490c140481908ed53b98b561eaa1 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6d74b20a48190900dda1014cc13a8 completed May 3, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f3babc0e081908a025cc70e51e986 completed June 14, 2026, 11:39 p.m.
NEDg Description generation batch_6a2f3cb660408190be91963d2c197ae5 completed June 14, 2026, 11:43 p.m.
NED2 Entity disambiguation (via description) batch_6a2f3f0709708190bafa7dc0708d64b4 completed June 14, 2026, 11:53 p.m.
PD Predicate disambiguation batch_69f6d26f27dc8190ae426a3e1573933e completed May 3, 2026, 4:43 a.m.
Created at: May 1, 2026, 12:39 a.m.