Triple

T18113733
Position Surface form Disambiguated ID Type / Status
Subject Lier E433544 entity
Predicate hasSettlement P1068 FINISHED
Object Sylling 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: Sylling | Statement: [Lier, hasSettlement, Sylling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylling
Context triple: [Lier, hasSettlement, Sylling]
  • A. Sylling chosen
    Sylling is a village in Lier municipality in Viken county, Norway, known for its rural setting near the southern end of Tyrifjorden.
  • B. Sweffling
    Sweffling is a small rural village and civil parish in the English county of Suffolk, known for its historic church and agricultural surroundings.
  • C. Shifnal
    Shifnal is a small market town in Shropshire, England, known for its historic buildings and proximity to Telford.
  • D. Grunnegs
    Grunnegs is the local endonym for the Gronings dialect of Low Saxon spoken in the Dutch province of Groningen and surrounding areas.
  • E. Smekkleysa
    Smekkleysa is an Icelandic independent record label and arts collective known for fostering influential alternative and experimental music acts.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3fd9c81909bfe95927f7553e3 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.