Triple
T12535729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stowmarket |
E299683
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Stavern
Stavern is a small coastal town in southern Norway known for its historic fortress, maritime heritage, and role as a popular summer holiday destination.
|
E1002168
|
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: Stavern | Statement: [Stowmarket, hasTwinTown, Stavern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stavern Context triple: [Stowmarket, hasTwinTown, Stavern]
-
A.
Tonstad
Tonstad is a small village in Agder county, Norway, serving as the administrative and commercial center of Sirdal municipality.
-
B.
Svarstad
Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
-
C.
Kristinestad
Kristinestad is a small coastal town in western Finland known for its well-preserved wooden old town and historic maritime character.
-
D.
Smestad
Smestad is a residential neighborhood in Oslo, Norway, known for its affluent housing and proximity to green areas and good public transport.
-
E.
Holmestrand
Holmestrand is a coastal town and municipality in Vestfold, Norway, known for its harbor, steep hillsides, and role as a regional transport hub along the Oslofjord.
- 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: Stavern Triple: [Stowmarket, hasTwinTown, Stavern]
Generated description
Stavern is a small coastal town in southern Norway known for its historic fortress, maritime heritage, and role as a popular summer holiday destination.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stavern Target entity description: Stavern is a small coastal town in southern Norway known for its historic fortress, maritime heritage, and role as a popular summer holiday destination.
-
A.
Tonstad
Tonstad is a small village in Agder county, Norway, serving as the administrative and commercial center of Sirdal municipality.
-
B.
Svarstad
Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
-
C.
Kristinestad
Kristinestad is a small coastal town in western Finland known for its well-preserved wooden old town and historic maritime character.
-
D.
Smestad
Smestad is a residential neighborhood in Oslo, Norway, known for its affluent housing and proximity to green areas and good public transport.
-
E.
Holmestrand
Holmestrand is a coastal town and municipality in Vestfold, Norway, known for its harbor, steep hillsides, and role as a regional transport hub along the Oslofjord.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546d3b2081908d3e0659f8f13678 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684d672808190b72a923e285a91bb |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f68687e15481908d1ddd017747695f |
completed | May 2, 2026, 11:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f686ec54288190bd1adcbd9c900c90 |
completed | May 2, 2026, 11:21 p.m. |
Created at: April 8, 2026, 9:57 p.m.