Triple

T11417843
Position Surface form Disambiguated ID Type / Status
Subject Brugg E270538 entity
Predicate locatedNearRiver P165 FINISHED
Object Limmat E70156 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: Limmat | Statement: [Brugg, locatedNearRiver, Limmat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limmat
Context triple: [Brugg, locatedNearRiver, Limmat]
  • A. Limmat chosen
    The Limmat is a Swiss river that flows out of Lake Zurich through the city of Zurich and continues northward until it joins the Aare.
  • B. Laimosemion
    Laimosemion is a genus of small, brightly colored Neotropical killifishes commonly found in freshwater habitats of northern South America.
  • C. Luntai
    Luntai is a small oasis town and county in China’s Xinjiang region, situated along the northern edge of the Taklamakan Desert on the historic Silk Road.
  • D. Maluma
    Maluma is a Colombian reggaeton and Latin pop singer-songwriter known for his chart-topping hits and major influence in contemporary Latin music.
  • E. Mylliem
    Mylliem is a town and administrative area in the East Khasi Hills district of Meghalaya, India, known for its traditional Khasi settlements and local governance.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b0236c81908122ce3fc7b4fde7 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b87ca7408190a4962bbaf89222bf completed April 20, 2026, 5:24 a.m.
Created at: April 8, 2026, 9:34 p.m.