Triple

T4249467
Position Surface form Disambiguated ID Type / Status
Subject Nagold E95811 entity
Predicate flowsThrough P225 FINISHED
Object Calw E400063 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: Calw | Statement: [Nagold, flowsThrough, Calw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calw
Context triple: [Nagold, flowsThrough, Calw]
  • A. Calw chosen
    Calw is a historic town in the Black Forest region of southwestern Germany, known as the birthplace of writer Hermann Hesse and for its well-preserved timber-framed architecture.
  • B. Kelshall
    Kelshall is a small rural village in the North Hertfordshire district of England, characterized by its historic church and agricultural surroundings.
  • C. Tadlow
    Tadlow is a small rural village in the county of Cambridgeshire in eastern England, known for its historic church and agricultural surroundings.
  • D. Byram
    Byram is a residential neighborhood in the town of Greenwich, Connecticut, located along the state's southwestern shoreline near the New York border.
  • E. Kinsealy
    Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e9df10881908a2f039773f8afaa completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a87fdca481908bd2c80b10d0dd3d completed March 14, 2026, 6:27 p.m.
Created at: March 12, 2026, 11:06 p.m.