Triple

T35601635
Position Surface form Disambiguated ID Type / Status
Subject Hofje van Bakenes E1028772 entity
Predicate hasNumberOfResidents P190478 FINISHED
Object 12 LITERAL FINISHED

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: 12 | Statement: [Hofje van Bakenes, hasNumberOfResidents, 12]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNumberOfResidents
Context triple: [Hofje van Bakenes, hasNumberOfResidents, 12]
  • A. hasResidentPopulation
    Indicates that a place or administrative area has a population of people who live there permanently or for an extended period.
  • B. staffPopulationApprox
    Indicates an approximate or estimated number of staff associated with an entity.
  • C. hasPopulationOf chosen
    Indicates that an entity possesses a specific number of inhabitants or residents as its population.
  • D. inhabitantsServed
    Indicates the relationship in which a service, facility, or resource provides for or meets the needs of a specified group of inhabitants.
  • E. hasRegisteredPopulation
    Indicates that an entity has an officially recorded number of inhabitants in a population registry or census.
  • 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_69f76e0598dc8190a6a093e904b9aa70 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69feff70fbec8190b1ff5f943f29613e completed May 9, 2026, 9:33 a.m.
PD Predicate disambiguation batch_69fefbcd5b7881909cfe52b32f8a4301 completed May 9, 2026, 9:18 a.m.
Created at: May 3, 2026, 4:05 p.m.