Triple

T8778260
Position Surface form Disambiguated ID Type / Status
Subject Pforzheim E208654 entity
Predicate locatedOnRiver P165 FINISHED
Object Enz E88874 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: Enz | Statement: [Pforzheim, locatedOnRiver, Enz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enz
Context triple: [Pforzheim, locatedOnRiver, Enz]
  • A. Enz chosen
    The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
  • B. ENZV
    ENZV is the ICAO airport code for Stavanger Airport, Sola, a major international airport serving the Stavanger region in southwestern Norway.
  • C. Zuiker
    Zuiker is the surname of Anthony E. Zuiker, the American television writer and producer best known as the creator of the CSI franchise.
  • D. Zas
    Zas is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its rural landscapes and traditional Galician culture.
  • E. ENJA
    ENJA is the ICAO airport code for Jan Mayensfield, the airfield serving the remote Norwegian island of Jan Mayen in the Arctic Ocean.
  • 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.