Triple
T6266142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fjord City |
E140417
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Filipstad
Filipstad is a waterfront district in Oslo, Norway, known for its port facilities and ongoing urban redevelopment as part of the Fjord City project.
|
E582520
|
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: Filipstad | Statement: [Fjord City, hasPart, Filipstad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Filipstad Context triple: [Fjord City, hasPart, Filipstad]
-
A.
Filipstad
Filipstad is a small town in Värmland County, Sweden, known as the birthplace and burial site of the famed engineer and inventor John Ericsson.
-
B.
Jakobstad
Jakobstad is a coastal town and municipality in western Finland known for its bilingual (Finnish and Swedish) heritage and maritime history.
-
C.
Halmstad
Halmstad is a coastal city in southwestern Sweden known for its historic town center, harbor, and role as a strategic site in Scandinavian conflicts.
-
D.
Kalmar
Kalmar is a historic coastal city in southeastern Sweden known for its medieval castle, role in the Kalmar Union, and connection to the island of Öland.
-
E.
Ballstad
Ballstad is a fishing village in Norway’s Lofoten archipelago, known for its scenic coastal landscape and traditional maritime culture.
- 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: Filipstad Triple: [Fjord City, hasPart, Filipstad]
Generated description
Filipstad is a waterfront district in Oslo, Norway, known for its port facilities and ongoing urban redevelopment as part of the Fjord City project.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Filipstad Target entity description: Filipstad is a waterfront district in Oslo, Norway, known for its port facilities and ongoing urban redevelopment as part of the Fjord City project.
-
A.
Filipstad
Filipstad is a small town in Värmland County, Sweden, known as the birthplace and burial site of the famed engineer and inventor John Ericsson.
-
B.
Jakobstad
Jakobstad is a coastal town and municipality in western Finland known for its bilingual (Finnish and Swedish) heritage and maritime history.
-
C.
Halmstad
Halmstad is a coastal city in southwestern Sweden known for its historic town center, harbor, and role as a strategic site in Scandinavian conflicts.
-
D.
Kalmar
Kalmar is a historic coastal city in southeastern Sweden known for its medieval castle, role in the Kalmar Union, and connection to the island of Öland.
-
E.
Ballstad
Ballstad is a fishing village in Norway’s Lofoten archipelago, known for its scenic coastal landscape and traditional maritime culture.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0639fdad081908492c44d369df8c5 |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51932e704819083e1ed17a86f6b5e |
completed | March 26, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69c52ced35ec8190ab35f5ceb50d9305 |
completed | March 26, 2026, 12:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5847a09c48190887f1d0071e9c591 |
completed | March 26, 2026, 7:09 p.m. |
Created at: March 22, 2026, 4:25 p.m.