Triple
T22237959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gribskov Municipality |
E549640
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mårum
Mårum is a small village in Denmark located within the rural area of Gribskov Municipality on the island of Zealand.
|
E1567814
|
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: Mårum | Statement: [Gribskov Municipality, contains, Mårum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mårum Context triple: [Gribskov Municipality, contains, Mårum]
-
A.
Brårud
Brårud is a small village located within the municipality of Nes in Akershus county, Norway.
-
B.
Meråker
Meråker is a mountainous municipality in Trøndelag county, Norway, known for its outdoor recreation, skiing facilities, and proximity to the Swedish border.
-
C.
Malvik
Malvik is a coastal municipality in central Norway, located in Trøndelag county near the city of Trondheim.
-
D.
Nissedal
Nissedal is a rural municipality in Vestfold og Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
-
E.
Verdal
Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
- 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: Mårum Triple: [Gribskov Municipality, contains, Mårum]
Generated description
Mårum is a small village in Denmark located within the rural area of Gribskov Municipality on the island of Zealand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mårum Target entity description: Mårum is a small village in Denmark located within the rural area of Gribskov Municipality on the island of Zealand.
-
A.
Brårud
Brårud is a small village located within the municipality of Nes in Akershus county, Norway.
-
B.
Meråker
Meråker is a mountainous municipality in Trøndelag county, Norway, known for its outdoor recreation, skiing facilities, and proximity to the Swedish border.
-
C.
Malvik
Malvik is a coastal municipality in central Norway, located in Trøndelag county near the city of Trondheim.
-
D.
Nissedal
Nissedal is a rural municipality in Vestfold og Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
-
E.
Verdal
Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13210eb9c8190bc40d06c393e0d9a |
completed | April 28, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c0abd066081909ce2709cd85a1551 |
completed | May 19, 2026, 7:01 a.m. |
| NEDg | Description generation | batch_6a0c0b70986c81909e1db90201b55f9d |
completed | May 19, 2026, 7:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c0c368c1c81909075c3d9802cfa2f |
completed | May 19, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:38 p.m.