Triple

T18852386
Position Surface form Disambiguated ID Type / Status
Subject Roermond E461071 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Roerdalen
Roerdalen is a rural municipality in the Dutch province of Limburg, known for its villages, natural landscapes, and proximity to the German border.
E1448446 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: Roerdalen | Statement: [Roermond, hasNeighbouringMunicipality, Roerdalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roerdalen
Context triple: [Roermond, hasNeighbouringMunicipality, Roerdalen]
  • 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. Hadeland
    Hadeland is a traditional rural district in southeastern Norway known for its agricultural landscape, historic churches, and the Hadeland Glassverk glassworks.
  • C. Nadderud
    Nadderud is a residential and sports-focused area in Bærum, Norway, known for its stadium and athletic facilities.
  • D. Leirdalen
    Leirdalen is a scenic glacial valley in Jotunheimen, Norway, known for its dramatic mountain landscapes and popular hiking routes.
  • E. Drangedal
    Drangedal is a rural municipality in southeastern Norway known for its forested landscape, lakes, and traditional farming communities.
  • 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: Roerdalen
Triple: [Roermond, hasNeighbouringMunicipality, Roerdalen]
Generated description
Roerdalen is a rural municipality in the Dutch province of Limburg, known for its villages, natural landscapes, and proximity to the German border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roerdalen
Target entity description: Roerdalen is a rural municipality in the Dutch province of Limburg, known for its villages, natural landscapes, and proximity to the German border.
  • 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. Hadeland
    Hadeland is a traditional rural district in southeastern Norway known for its agricultural landscape, historic churches, and the Hadeland Glassverk glassworks.
  • C. Nadderud
    Nadderud is a residential and sports-focused area in Bærum, Norway, known for its stadium and athletic facilities.
  • D. Leirdalen
    Leirdalen is a scenic glacial valley in Jotunheimen, Norway, known for its dramatic mountain landscapes and popular hiking routes.
  • E. Drangedal
    Drangedal is a rural municipality in southeastern Norway known for its forested landscape, lakes, and traditional farming communities.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05a8a708190b9b2b8f95b2f1d23 completed April 20, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e81e54d4819099def0167ac64e26 completed May 16, 2026, 9:56 p.m.
NEDg Description generation batch_6a08e8fc1d6c819083f06debaa3bec24 completed May 16, 2026, 10 p.m.
NED2 Entity disambiguation (via description) batch_6a08e98a594c8190b3a2d9ae7e3af4f7 completed May 16, 2026, 10:02 p.m.
Created at: April 10, 2026, 11:56 a.m.