Triple

T8778262
Position Surface form Disambiguated ID Type / Status
Subject Pforzheim E208654 entity
Predicate locatedOnRiver P165 FINISHED
Object Würm E333214 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: Würm | Statement: [Pforzheim, locatedOnRiver, Würm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Würm
Context triple: [Pforzheim, locatedOnRiver, Würm]
  • A. Würm chosen
    Würm is a river in Bavaria, Germany, known for flowing from Lake Starnberg through several towns before joining the Isar River near Munich.
  • B. Zwenkau
    Zwenkau is a small town in the Free State of Saxony in eastern Germany, situated near Leipzig and known for its proximity to former lignite mining areas now being transformed into lake landscapes.
  • C. Wurmberg
    Wurmberg is a prominent mountain in the Harz range of central Germany, popular for skiing, hiking, and panoramic views.
  • D. Estwedus
    Estwedus is the ancient name of the city now known as Aspendos, a prominent Greco-Roman settlement in Pamphylia, famed for its well-preserved Roman theater in modern-day Turkey.
  • E. Illiger
    Illiger is the standard taxonomic author abbreviation for Johann Karl Wilhelm Illiger, a German zoologist and entomologist known for his early 19th-century work in animal classification.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f51b3d48190b542a0423d3938e0 completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51d69af481909245ca327f36e9c2 completed April 3, 2026, 5:36 a.m.
Created at: March 30, 2026, 6:42 p.m.