Triple
T32233897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barend Biesheuvel |
E823412
|
entity |
| Predicate | residenceWhilePrimeMinister |
P34202
|
FINISHED |
| Object | Catshuis, The Hague |
—
|
NE NERFINISHED |
How this triple was built (2 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]
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 (3 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. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 12:39 a.m.