Triple

T4790498
Position Surface form Disambiguated ID Type / Status
Subject Orkland E106588 entity
Predicate traversedByRiver P165 FINISHED
Object Orkla
Orkla is a major river in Trøndelag county, Norway, known for its scenic valley and renowned salmon fishing.
 E470025 NE FINISHED

How this triple was built (4 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: Orkla | Statement: [Orkland, traversedByRiver, Orkla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Orkla
Context triple: [Orkland, traversedByRiver, Orkla]
  • A. Borregaard
    Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
  • B. Aker Finnyards
    Aker Finnyards is a Finnish shipbuilding company known for constructing various naval and commercial vessels, including advanced military ships.
  • C. Invermark
    Invermark is a small settlement in the remote upper reaches of Glen Esk in Angus, Scotland, known as a gateway to surrounding hills and historic estates.
  • D. Aker
    Aker is a historical area and former municipality that once surrounded and included much of what is now Oslo, Norway.
  • E. Bunge
    Bunge is the unicameral legislative body and main law-making institution of the United Republic of Tanzania.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Orkla
Triple: [Orkland, traversedByRiver, Orkla]
Generated description
Orkla is a major river in Trøndelag county, Norway, known for its scenic valley and renowned salmon fishing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Orkla
Target entity description: Orkla is a major river in Trøndelag county, Norway, known for its scenic valley and renowned salmon fishing.
  • A. Borregaard
    Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
  • B. Aker Finnyards
    Aker Finnyards is a Finnish shipbuilding company known for constructing various naval and commercial vessels, including advanced military ships.
  • C. Invermark
    Invermark is a small settlement in the remote upper reaches of Glen Esk in Angus, Scotland, known as a gateway to surrounding hills and historic estates.
  • D. Aker
    Aker is a historical area and former municipality that once surrounded and included much of what is now Oslo, Norway.
  • E. Bunge
    Bunge is the unicameral legislative body and main law-making institution of the United Republic of Tanzania.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65dce6888190a0b1bdf416fb62b9 completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43e8f9dc8190b4e932d179e2f097 completed March 21, 2026, 7:08 a.m.
NEDg Description generation batch_69be4603d32c819092c3c48a3ba41833 completed March 21, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_69be472cd6b88190bc998340ffd2b66e completed March 21, 2026, 7:22 a.m.
Created at: March 20, 2026, 1:22 p.m.