Triple

T16182248
Position Surface form Disambiguated ID Type / Status
Subject Målselva E392712 entity
Predicate valley P650 FINISHED
Object Målselvdalen E385285 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: Målselvdalen | Statement: [Målselva, valley, Målselvdalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Målselvdalen
Context triple: [Målselva, valley, Målselvdalen]
  • A. Målselvdalen chosen
    Målselvdalen is a scenic river valley in Troms, northern Norway, known for its agricultural landscape, surrounding mountains, and the Målselva river running through it.
  • B. Kjølsdalen
    Kjølsdalen is a small village in western Norway, situated in the municipality historically associated with Eid in Vestland county.
  • C. Gauldalen
    Gauldalen is a river valley and traditional district in central Norway known for its agricultural landscape and the Gaula River running through it.
  • D. Sørkedalen
    Sørkedalen is a rural valley area in the northwest of Oslo, Norway, known for its forests, farms, and outdoor recreation opportunities.
  • E. Fyllingsdalen
    Fyllingsdalen is a borough of Bergen, Norway, known as a residential district located southwest of the city center.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205d858c8190802d44e08e3cdcd6 completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003548837c819091695a91f88bd0bc completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 5:02 a.m.