Triple

T8443101
Position Surface form Disambiguated ID Type / Status
Subject Blau E199596 entity
Predicate sourceLocation P40 FINISHED
Object Blautopf E423255 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: Blautopf | Statement: [Blau, sourceLocation, Blautopf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blautopf
Context triple: [Blau, sourceLocation, Blautopf]
  • A. Heul
    Heul is a small waterway in the Westland region of South Holland in the Netherlands, historically associated with the village of Kwintsheul and its surrounding polder landscape.
  • B. Bocksberg
    Bocksberg is a mountain in the Harz region of Germany, known for its hiking trails, winter sports facilities, and scenic views near the village of Hahnenklee.
  • C. Blautopf spring chosen
    Blautopf spring is a strikingly blue karst spring and popular natural landmark near the town of Blaubeuren in Germany.
  • D. Oberdrees
    Oberdrees is a village-level district of the town of Rheinbach in the Rhein-Sieg-Kreis of North Rhine-Westphalia, Germany.
  • E. Voitsberg
    Voitsberg is a small town in southeastern Austria known for its industrial heritage and location within the federal state of Styria.
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe310d8e08190b871bda79acde678 completed March 31, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1da3a99481909c9beae665bb5b83 completed April 2, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:08 p.m.