Triple

T5155167
Position Surface form Disambiguated ID Type / Status
Subject Linden (North Brabant) E116290 entity
Predicate hasNameInDutch P13254 FINISHED
Object Linden E116290 NE 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: Linden | Statement: [Linden (North Brabant), hasNameInDutch, Linden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linden
Context triple: [Linden (North Brabant), hasNameInDutch, Linden]
  • A. Linden
    Linden is a Chicago Transit Authority rapid transit station that serves as the northern terminal of the Purple Line in Wilmette, Illinois.
  • B. Linden chosen
    Linden is a small village in the Dutch province of North Brabant, known for its rural character and location near the Maas River.
  • C. Linden
    Linden is a town in Lower Saxony, Germany, known as the birthplace of political theorist Hannah Arendt.
  • D. Southwood
    Southwood is a suburban residential area within the Borough of Rushmoor in Hampshire, England.
  • E. Linwood
    Linwood is a small Scottish town in Renfrewshire, near Paisley, known historically for its car manufacturing and as a residential commuter community for the Greater Glasgow area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd78ddb01081909457ff4208eac4d7 completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed0123bc48190920f60fc29f64734 completed March 21, 2026, 5:06 p.m.
Created at: March 20, 2026, 1:44 p.m.