Triple

T14978058
Position Surface form Disambiguated ID Type / Status
Subject Hallstatt E373503 entity
Predicate locatedOnBodyOfWater P212 FINISHED
Object Lake Hallstatt E957517 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: Lake Hallstatt | Statement: [Hallstatt, locatedOnBodyOfWater, Lake Hallstatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Hallstatt
Context triple: [Hallstatt, locatedOnBodyOfWater, Lake Hallstatt]
  • A. Wolfgangsee
    Wolfgangsee is a picturesque alpine lake in Austria renowned for its clear waters, surrounding mountains, and popular lakeside resort towns such as St. Wolfgang and St. Gilgen.
  • B. Hallstätter See chosen
    Hallstätter See is a picturesque alpine lake in Austria’s Salzkammergut region, renowned for its dramatic mountain scenery and the historic lakeside village of Hallstatt.
  • C. Hintersee
    Hintersee is a small Austrian municipality in the state of Salzburg, known for its scenic alpine landscapes and nearby mountain lake.
  • D. Lake Hallwil
    Lake Hallwil is a scenic lake in central Switzerland known for its clear waters, surrounding wetlands, and popularity for swimming, boating, and nature excursions.
  • E. Lake Senftenberg
    Lake Senftenberg is an artificial lake in eastern Germany, popular as a recreational area for swimming, boating, and tourism.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6fbd138819092254ea37388026c completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fed31c0ab08190814c41d852f9f523 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 2:51 a.m.