Triple

T5669258
Position Surface form Disambiguated ID Type / Status
Subject Steinkjer E124933 entity
Predicate hasRiver P165 FINISHED
Object Steinkjerelva E535621 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: Steinkjerelva | Statement: [Steinkjer, hasRiver, Steinkjerelva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steinkjerelva
Context triple: [Steinkjer, hasRiver, Steinkjerelva]
  • A. Steinkjerelva chosen
    Steinkjerelva is a river in Trøndelag county, Norway, that flows through the town of Steinkjer before emptying into the inner part of the Trondheimsfjord.
  • B. Lysakerelva
    Lysakerelva is a river in the Oslo area of Norway that forms part of the boundary between the municipalities of Oslo and Bærum and is known for its waterfalls, hiking paths, and historical industrial sites.
  • C. Hallingdalselva
    Hallingdalselva is a major river in eastern Norway known for flowing through the Hallingdal valley and supporting hydropower production, fishing, and outdoor recreation.
  • D. Krokstadelva
    Krokstadelva is a town in Viken county, Norway, situated along the Drammenselva river and known historically for its industrial and residential character.
  • E. Randselva
    Randselva is a river in eastern Norway that drains into Randsfjorden and is known for flowing through the Hønefoss area.
  • 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_69c00828906881908966f270b8f130cf completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0234891d48190bf662f38ef84d4f3 completed March 22, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a2ec0b4819091ae7d18cf76aecc completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:43 p.m.