Triple

T21205261
Position Surface form Disambiguated ID Type / Status
Subject Bad Iburg E522559 entity
Predicate hasSubdivision P747 FINISHED
Object Glane 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: Glane | Statement: [Bad Iburg, hasSubdivision, Glane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glane
Context triple: [Bad Iburg, hasSubdivision, Glane]
  • A. Glane chosen
    Glane is a small hamlet in the municipality of Losser in the province of Overijssel in the eastern Netherlands.
  • B. Glan
    Glan is a coastal municipality in the province of Sarangani on the island of Mindanao in the Philippines, known for its white-sand beaches and coconut-fringed shoreline.
  • C. Glais
    Glais is a village in the Swansea Valley in South Wales, known for its residential character and proximity to both Swansea and the surrounding countryside.
  • D. Glenaan
    Glenaan is one of the scenic Glens of Antrim in County Antrim, Northern Ireland, known for its rural landscapes and traditional Irish countryside character.
  • E. Rannes
    Rannes is a small rural locality in the Banana Shire region of Central Queensland, Australia, historically associated with agriculture and rail transport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734342e9081909e241bed54dbc0b4 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:20 p.m.