Triple

T14549446
Position Surface form Disambiguated ID Type / Status
Subject Sauverny E341374 entity
Predicate hasBorderWith P224 FINISHED
Object Grilly E341375 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: Grilly | Statement: [Sauverny, hasBorderWith, Grilly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grilly
Context triple: [Sauverny, hasBorderWith, Grilly]
  • A. Grilly chosen
    Grilly is a small French commune in the Ain department of eastern France, near the Swiss border and the city of Geneva.
  • B. Grillen
    "Grillen" is one of the characterful, introspective piano pieces from Robert Schumann’s Fantasiestücke, Op. 12, reflecting his Romantic, fantasy-driven style.
  • C. Griller
    Griller is an EP by the punk rock band The Frustrators, known for its energetic, humorous take on pop-punk.
  • D. Grill
    Grill is a surname of Germanic origin borne by various individuals, including the Austrian actress Isabelle Grill.
  • E. Greggy
    Greggy is a familiar or affectionate diminutive form of the given name Greg.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ed2b4c8190945bd26531c71f1f completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a6344b08190a3c1124c6dd7da96 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:23 a.m.