Triple

T2898134
Position Surface form Disambiguated ID Type / Status
Subject Aare E62590 entity
Predicate feedsLake P43869 FINISHED
Object Lake Brienz E95823 NE FINISHED

How this triple was built (3 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 Brienz | Statement: [Aare, feedsLake, Lake Brienz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Brienz
Context triple: [Aare, feedsLake, Lake Brienz]
  • A. Lake Brienz chosen
    Lake Brienz is a deep, turquoise-colored alpine lake in central Switzerland, renowned for its dramatic mountain scenery and crystal-clear waters.
  • B. Lake Thun
    Lake Thun is a large alpine lake in the Bernese Oberland region of Switzerland, renowned for its scenic mountain backdrop, historic lakeside towns, and popular boating and water sports.
  • C. Lake Sarnen
    Lake Sarnen is a scenic alpine lake in the canton of Obwalden in central Switzerland, known for its clear waters and surrounding mountain landscapes.
  • D. Lake Lucerne
    Lake Lucerne is a picturesque, fjord-like lake in central Switzerland, renowned for its dramatic mountain scenery, historic sites, and role as a major tourist destination.
  • E. Lake of Biel
    Lake of Biel is a scenic lake in western Switzerland’s Seeland region, known for its vineyards, islands, and role in the Jura water correction system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: feedsLake
Context triple: [Aare, feedsLake, Lake Brienz]
  • A. feedsRiver
    Indicates that one water body or source supplies water to and flows into a river.
  • B. feedsGlacier
    Indicates that one entity supplies water, ice, or material that contributes to the growth or sustenance of a glacier.
  • C. feedSystem
    Indicates that one entity supplies or provides input, resources, or data into another entity or system for its operation or processing.
  • D. streams
    Indicates that one entity continuously transmits or delivers data, media, or content in real time to another entity.
  • E. sharesGreatLakes
    Indicates that two places are both bordered by or have access to one or more of the same Great Lakes.
  • F. None of above. chosen

Provenance (5 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe08fe3248190a6bb7de2a2c317b1 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b354505574819083ae7d36e461366b completed March 13, 2026, 12:03 a.m.
PD Predicate disambiguation batch_69abdd17bcdc8190aa47274a50ba4ad4 completed March 7, 2026, 8:08 a.m.
PDg Predicate description generation batch_69abde0f4c648190b9812e64f30c39da completed March 7, 2026, 8:13 a.m.
Created at: March 6, 2026, 10:10 p.m.