Triple

T17732129
Position Surface form Disambiguated ID Type / Status
Subject Overhalla E442612 entity
Predicate administrativeCentre P1474 FINISHED
Object Ranemsletta
Ranemsletta is a village in Trøndelag county, Norway, serving as the main local hub for services and governance in the municipality of Overhalla.
E1286140 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: Ranemsletta | Statement: [Overhalla, administrativeCentre, Ranemsletta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ranemsletta
Context triple: [Overhalla, administrativeCentre, Ranemsletta]
  • A. Rælingen
    Rælingen is a municipality in Viken county, Norway, known for its proximity to Oslo and its mix of residential areas, forests, and lakes.
  • B. Storslett
    Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
  • C. Smiltene
    Smiltene is a small town in northern Latvia known for its scenic surroundings, historical sites, and role as a local administrative and cultural center.
  • D. Dølen
    Dølen was a 19th-century Norwegian weekly periodical, written in Landsmål by Aasmund Olavsson Vinje, that combined literary works with social and political commentary.
  • E. Rennebu
    Rennebu is a rural municipality in Trøndelag county, Norway, known for its distinctive Y-shaped church and scenic valley landscapes.
  • 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: Ranemsletta
Triple: [Overhalla, administrativeCentre, Ranemsletta]
Generated description
Ranemsletta is a village in Trøndelag county, Norway, serving as the main local hub for services and governance in the municipality of Overhalla.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ranemsletta
Target entity description: Ranemsletta is a village in Trøndelag county, Norway, serving as the main local hub for services and governance in the municipality of Overhalla.
  • A. Rælingen
    Rælingen is a municipality in Viken county, Norway, known for its proximity to Oslo and its mix of residential areas, forests, and lakes.
  • B. Storslett
    Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
  • C. Smiltene
    Smiltene is a small town in northern Latvia known for its scenic surroundings, historical sites, and role as a local administrative and cultural center.
  • D. Dølen
    Dølen was a 19th-century Norwegian weekly periodical, written in Landsmål by Aasmund Olavsson Vinje, that combined literary works with social and political commentary.
  • E. Rennebu
    Rennebu is a rural municipality in Trøndelag county, Norway, known for its distinctive Y-shaped church and scenic valley landscapes.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e7773081909dadb90ff5cb0906 completed April 19, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efaf24d48190a535eba40ae33443 completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f077f03881908961ea770850a2d6 completed May 12, 2026, 9:18 a.m.
NED2 Entity disambiguation (via description) batch_6a02f116f4648190ac9ef1cc81bd032d completed May 12, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:08 a.m.