Triple

T5669234
Position Surface form Disambiguated ID Type / Status
Subject Steinkjer E124933 entity
Predicate mergedWith P77 FINISHED
Object Ogndal
Ogndal was a former rural municipality in Trøndelag county, Norway, that was incorporated into the town of Steinkjer.
 E558832 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: Ogndal | Statement: [Steinkjer, mergedWith, Ogndal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ogndal
Context triple: [Steinkjer, mergedWith, Ogndal]
  • A. Orkdal
    Orkdal was a former municipality in Trøndelag county, Norway, known for its central location in the Orkdalen valley and later incorporation into the larger Orkland municipality.
  • B. Engerdal
    Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
  • C. Sør-Odal
    Sør-Odal is a rural municipality in Innlandet county, Norway, known for its forests, agriculture, and location along the Glomma River.
  • D. Gausdal
    Gausdal is a rural municipality in southeastern Norway known for its agricultural landscape, forests, and outdoor recreational opportunities.
  • E. Ørskog
    Ørskog is a village and former municipality in western Norway, located in the county of Møre og Romsdal.
  • 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: Ogndal
Triple: [Steinkjer, mergedWith, Ogndal]
Generated description
Ogndal was a former rural municipality in Trøndelag county, Norway, that was incorporated into the town of Steinkjer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ogndal
Target entity description: Ogndal was a former rural municipality in Trøndelag county, Norway, that was incorporated into the town of Steinkjer.
  • A. Orkdal
    Orkdal was a former municipality in Trøndelag county, Norway, known for its central location in the Orkdalen valley and later incorporation into the larger Orkland municipality.
  • B. Engerdal
    Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
  • C. Sør-Odal
    Sør-Odal is a rural municipality in Innlandet county, Norway, known for its forests, agriculture, and location along the Glomma River.
  • D. Gausdal
    Gausdal is a rural municipality in southeastern Norway known for its agricultural landscape, forests, and outdoor recreational opportunities.
  • E. Ørskog
    Ørskog is a village and former municipality in western Norway, located in the county of Møre og Romsdal.
  • 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_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_69c0e31f570c8190aa120e869fd16fd0 completed March 23, 2026, 6:52 a.m.
NEDg Description generation batch_69c0f8bbcc2c8190abdfda7331d9e6b2 completed March 23, 2026, 8:24 a.m.
NED2 Entity disambiguation (via description) batch_69c0f9602ee88190bc4caeb15f5c721f completed March 23, 2026, 8:27 a.m.
Created at: March 22, 2026, 3:43 p.m.