Triple
T7587708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordanstig Municipality |
E179656
|
entity |
| Predicate | hasProvince |
P285
|
FINISHED |
| Object |
Medelpad
Medelpad is a historical province in central Sweden known for its forests, rivers, and coastal landscapes along the Gulf of Bothnia.
|
E675672
|
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: Medelpad | Statement: [Nordanstig Municipality, hasProvince, Medelpad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medelpad Context triple: [Nordanstig Municipality, hasProvince, Medelpad]
-
A.
Matsesta
Matsesta is a spa and resort area near Sochi on Russia’s Black Sea coast, historically renowned for its therapeutic sulfur springs.
-
B.
Dovrebanen
Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
-
C.
Syvota
Syvota is a coastal village and popular tourist resort on the Ionian Sea in northwestern Greece, known for its scenic bays and nearby islands.
-
D.
Menapii
The Menapii were an ancient Belgic tribe inhabiting parts of what are now northern France and Belgium, known from Julius Caesar’s accounts of the Gallic Wars.
-
E.
Märsta
Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
- 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: Medelpad Triple: [Nordanstig Municipality, hasProvince, Medelpad]
Generated description
Medelpad is a historical province in central Sweden known for its forests, rivers, and coastal landscapes along the Gulf of Bothnia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Medelpad Target entity description: Medelpad is a historical province in central Sweden known for its forests, rivers, and coastal landscapes along the Gulf of Bothnia.
-
A.
Matsesta
Matsesta is a spa and resort area near Sochi on Russia’s Black Sea coast, historically renowned for its therapeutic sulfur springs.
-
B.
Dovrebanen
Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
-
C.
Syvota
Syvota is a coastal village and popular tourist resort on the Ionian Sea in northwestern Greece, known for its scenic bays and nearby islands.
-
D.
Menapii
The Menapii were an ancient Belgic tribe inhabiting parts of what are now northern France and Belgium, known from Julius Caesar’s accounts of the Gallic Wars.
-
E.
Märsta
Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
- 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_69c69f335248819093c1006f30513708 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f99875908190b09584cf13ea1e08 |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86186ce4481908e528c57cdd07d2d |
completed | March 28, 2026, 11:17 p.m. |
| NEDg | Description generation | batch_69c86223bfec8190b47f840e39c9a51a |
completed | March 28, 2026, 11:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c862b8f3688190b0abc00458f70d7e |
completed | March 28, 2026, 11:22 p.m. |
Created at: March 27, 2026, 3:52 p.m.