Triple

T15758364
Position Surface form Disambiguated ID Type / Status
Subject Prien River E382026 entity
Predicate hasMouthIn P1008 FINISHED
Object Prien am Chiemsee E206840 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: Prien am Chiemsee | Statement: [Prien River, hasMouthIn, Prien am Chiemsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prien am Chiemsee
Context triple: [Prien River, hasMouthIn, Prien am Chiemsee]
  • A. Prien am Chiemsee chosen
    Prien am Chiemsee is a Bavarian market town in southern Germany known as a popular lakeside resort and gateway to the Chiemsee islands.
  • B. Utting am Ammersee
    Utting am Ammersee is a lakeside municipality in Bavaria, Germany, situated on the western shore of Lake Ammersee and known for its scenic setting and recreational tourism.
  • C. Inning am Ammersee
    Inning am Ammersee is a Bavarian municipality in southern Germany located on the shores of Lake Ammersee, known for its lakeside setting and proximity to Munich.
  • D. Drachselsried
    Drachselsried is a small municipality in the Bavarian Forest region of southeastern Germany, known for its scenic landscapes and rural character.
  • E. Prien am Chiemsee harbor
    Prien am Chiemsee harbor is a lakeside port town and popular departure point for boat trips on Bavaria’s Chiemsee, including visits to the famous Herrenchiemsee and Frauenchiemsee islands.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b35ea48190a758ee76a57b5451 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff877311dc8190b55fe7ca5c0843da completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.