Triple

T22153948
Position Surface form Disambiguated ID Type / Status
Subject Berkelland E547484 entity
Predicate hasSettlement P1068 FINISHED
Object Beltrum NE NERFINISHED

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: Beltrum | Statement: [Berkelland, hasSettlement, Beltrum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beltrum
Context triple: [Berkelland, hasSettlement, Beltrum]
  • A. Kamorta
    Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
  • B. Belev
    Belev is a historic town in Tula Oblast, Russia, known for its medieval origins and role as a local administrative and cultural center.
  • C. Tirhuta
    Tirhuta is a historical Brahmic script traditionally used for writing the Maithili language in the Mithila region of India and Nepal.
  • D. Belas
    Belas is a rapidly developing urban municipality in Luanda Province, Angola, known for its residential expansion and emerging commercial infrastructure.
  • E. Belas
    Belas is a civil parish in the municipality of Sintra, Portugal, known for its historic village center and proximity to Lisbon.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beltrum
Target entity description: Beltrum is a village in the municipality of Berkelland in the province of Gelderland in the eastern Netherlands.
  • A. Kamorta
    Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
  • B. Belev
    Belev is a historic town in Tula Oblast, Russia, known for its medieval origins and role as a local administrative and cultural center.
  • C. Tirhuta
    Tirhuta is a historical Brahmic script traditionally used for writing the Maithili language in the Mithila region of India and Nepal.
  • D. Belas
    Belas is a rapidly developing urban municipality in Luanda Province, Angola, known for its residential expansion and emerging commercial infrastructure.
  • E. Belas
    Belas is a civil parish in the municipality of Sintra, Portugal, known for its historic village center and proximity to Lisbon.
  • F. None of above. chosen

Provenance (2 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f6d5b88190badee2e515a3b633 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.