Triple

T9766451
Position Surface form Disambiguated ID Type / Status
Subject Konstanz E237005 entity
Predicate locatedOn P40 FINISHED
Object Bodensee E176598 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: Bodensee | Statement: [Konstanz, locatedOn, Bodensee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bodensee
Context triple: [Konstanz, locatedOn, Bodensee]
  • A. Schönenbodensee
    Schönenbodensee is a small scenic mountain lake located near the village of Wildhaus in the Toggenburg region of the Swiss canton of St. Gallen.
  • B. Lake Constance chosen
    Lake Constance is a large freshwater lake on the Rhine at the northern foot of the Alps, bordering Germany, Austria, and Switzerland and serving as a major regional hub for tourism, transport, and natural conservation.
  • C. Jungfernsee
    Jungfernsee is a scenic lake on the outskirts of Potsdam and Berlin, known for its historic villas, palaces, and location along the former inner German border.
  • D. Tüttensee
    Tüttensee is a small lake in the Chiemgau region of Bavaria, Germany, known for its scenic setting and local recreational use.
  • E. Chiemsee
    Chiemsee is one of Germany’s largest lakes, famed for its scenic Alpine setting and historic islands such as Herrenchiemsee with its royal palace.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0a15e408190909745cb1c30937d completed April 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbd9073c948190aa2e9e6b7ffe9022 completed April 12, 2026, 5:40 p.m.
Created at: March 30, 2026, 8:25 p.m.