Triple
T19575025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skien Municipality |
E489831
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Skien parish
Skien parish is a Church of Norway parish serving the town and surrounding area of Skien in Telemark, Norway.
|
E1502533
|
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: Skien parish | Statement: [Skien Municipality, hasParish, Skien parish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skien parish Context triple: [Skien Municipality, hasParish, Skien parish]
-
A.
Skien Municipality
Skien Municipality is a local government area in Vestfold og Telemark county, Norway, encompassing the city of Skien and its surrounding communities.
-
B.
Røst parish
Røst parish is a Church of Norway parish serving the small island community of Røst in Nordland county.
-
C.
Oppstad parish
Oppstad parish is a local Church of Norway parish serving the community within the municipality of Sør-Odal in Innlandet county.
-
D.
Sogndal parish
Sogndal parish is a Church of Norway parish serving the local community in and around the village of Sogndal in Vestland county.
-
E.
Vaksdal Municipality
Vaksdal Municipality is a local government area in western Norway known for its fjord landscapes, hydropower development, and traditional industrial 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: Skien parish Triple: [Skien Municipality, hasParish, Skien parish]
Generated description
Skien parish is a Church of Norway parish serving the town and surrounding area of Skien in Telemark, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skien parish Target entity description: Skien parish is a Church of Norway parish serving the town and surrounding area of Skien in Telemark, Norway.
-
A.
Skien Municipality
Skien Municipality is a local government area in Vestfold og Telemark county, Norway, encompassing the city of Skien and its surrounding communities.
-
B.
Røst parish
Røst parish is a Church of Norway parish serving the small island community of Røst in Nordland county.
-
C.
Oppstad parish
Oppstad parish is a local Church of Norway parish serving the community within the municipality of Sør-Odal in Innlandet county.
-
D.
Sogndal parish
Sogndal parish is a Church of Norway parish serving the local community in and around the village of Sogndal in Vestland county.
-
E.
Vaksdal Municipality
Vaksdal Municipality is a local government area in western Norway known for its fjord landscapes, hydropower development, and traditional industrial 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64023fe148190900c6887896c8ea0 |
completed | April 20, 2026, 3:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3e55d7bc8190b23ad38c77f65ec5 |
completed | May 17, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a0a3faec8948190a8e813e776a4bbb4 |
completed | May 17, 2026, 10:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a40652c3081909f765ff48b2e0041 |
completed | May 17, 2026, 10:25 p.m. |
Created at: April 10, 2026, 1:42 p.m.