Triple

T13441026
Position Surface form Disambiguated ID Type / Status
Subject Sorge E320359 entity
Predicate locatedNear P294 FINISHED
Object Tanne E320360 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: Tanne | Statement: [Sorge, locatedNear, Tanne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanne
Context triple: [Sorge, locatedNear, Tanne]
  • A. Tanne chosen
    Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
  • B. Treene
    The Treene is a river in northern Germany that flows through the state of Schleswig-Holstein and ultimately drains into the Eider River.
  • C. Birch
    Birch is a masculine given name most notably borne by American politician Birch Bayh, a long-serving U.S. senator from Indiana.
  • D. Ahorn
    Ahorn is a municipality in the Bavarian region of Germany, known for its rural character and proximity to the city of Coburg.
  • E. Spruce
    Spruce is a surname of English origin borne by various individuals, including Stephanie Spruce.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee704ac8190b4c7f4e0d3a88494 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7399421908190a7750e37c89a73f6 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:40 p.m.