Triple

T16480372
Position Surface form Disambiguated ID Type / Status
Subject Kander river basin E400300 entity
Predicate collectsRunoffFrom P4497 FINISHED
Object Balmhorn E1183216 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: Balmhorn | Statement: [Kander river basin, collectsRunoffFrom, Balmhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balmhorn
Context triple: [Kander river basin, collectsRunoffFrom, Balmhorn]
  • A. Balmhorn chosen
    Balmhorn is a prominent mountain in the Bernese Alps of Switzerland, known for its glaciated slopes and classic alpine climbing routes.
  • B. Hoyte
    Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
  • C. Lagginhorn
    Lagginhorn is a prominent 4,000-meter-class mountain in the Swiss Pennine Alps, known for its relatively accessible routes and panoramic views over the surrounding Valais peaks.
  • D. Highmaul
    Highmaul is the first raid instance of World of Warcraft’s Warlords of Draenor expansion, set in the ogre capital city on Draenor and featuring encounters with powerful ogre warlords and their minions.
  • E. Lammbock
    Lammbock is a German stoner comedy film that follows two friends running a pizza delivery service as a front for their marijuana business.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e01f6c88190b75a0d6c94786426 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f61eca48190816fe1e3dbe6e901 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:13 a.m.