Triple

T13823809
Position Surface form Disambiguated ID Type / Status
Subject Ricola Storage Building Laufen E332199 entity
Predicate locatedIn P40 FINISHED
Object Laufen E940650 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: Laufen | Statement: [Ricola Storage Building Laufen, locatedIn, Laufen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laufen
Context triple: [Ricola Storage Building Laufen, locatedIn, Laufen]
  • A. Laufen
    Laufen is a historic Bavarian town in southeastern Germany situated on the banks of the Salzach River near the Austrian border.
  • B. Laufen chosen
    Laufen is a small Swiss town in the canton of Basel-Landschaft, known for its historic center and location near the French and German borders.
  • C. Running
    "Running" is a synthpop song by the American band Information Society, known for its danceable electronic sound and club popularity in the 1980s.
  • D. Run
    "Run" is a popular alternative rock song by American band Collective Soul, known for its melodic acoustic style and introspective lyrics.
  • E. Run
    Run is a 2020 psychological horror-thriller film starring Sarah Paulson as an overprotective mother whose disturbing secrets threaten her disabled daughter's independence.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0285fb7c8190be4b90bdc0d6fa53 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e85c6c81908bdf5d43b917d151 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.