Triple

T5047429
Position Surface form Disambiguated ID Type / Status
Subject Randsfjorden E113700 entity
Predicate locatedInAdministrativeEntity P40 FINISHED
Object Gran E433528 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: Gran | Statement: [Randsfjorden, locatedInAdministrativeEntity, Gran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gran
Context triple: [Randsfjorden, locatedInAdministrativeEntity, Gran]
  • A. Gran chosen
    Gran is a municipality in Innlandet county, Norway, known for its rural landscapes, historic churches, and location in the traditional district of Hadeland.
  • B. Dun
    Dun is a small settlement in Angus, Scotland, known for its historic country house and estate, House of Dun.
  • C. Giant Mountains
    The Giant Mountains are a high, rugged mountain range on the border between Poland and the Czech Republic, known for their alpine landscapes, unique ecosystems, and status as a popular hiking and winter sports destination.
  • D. Overhalla
    Overhalla is a rural municipality in Trøndelag county, Norway, known for its agriculture, forestry, and proximity to the town of Namsos.
  • E. MinMinas
    MinMinas is the abbreviated name of Colombia’s Ministry of Mines and Energy, the government body responsible for national policies on mining and energy resources.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd740002b48190bc7aa176d734c589 completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c9143a081909132c66eb9fc91db completed March 21, 2026, 1:26 p.m.
Created at: March 20, 2026, 1:37 p.m.