Triple
T7163045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rindö |
E166993
|
entity |
| Predicate | hasFortification |
P8412
|
FINISHED |
| Object |
Byviksfortet
Byviksfortet is a coastal fortification on the island of Rindö in the Stockholm archipelago, historically part of Sweden’s naval defenses.
|
E646180
|
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: Byviksfortet | Statement: [Rindö, hasFortification, Byviksfortet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byviksfortet Context triple: [Rindö, hasFortification, Byviksfortet]
-
A.
Paa Storhove
Paa Storhove is a literary work by the renowned Norwegian writer and Nobel laureate Bjørnstjerne Bjørnson.
-
B.
Brevik
Brevik is a locality within Tyresö Municipality in Stockholm County, Sweden, known for its coastal residential areas and proximity to the Stockholm archipelago.
-
C.
Mortensrud
Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
-
D.
Kvænangen
Kvænangen is a fjord in northern Norway known for its dramatic coastal scenery, rich marine life, and traditional fishing communities.
-
E.
Kongsseteren
Kongsseteren is a historic winter residence and retreat used by the Norwegian royal family near Oslo.
- 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: Byviksfortet Triple: [Rindö, hasFortification, Byviksfortet]
Generated description
Byviksfortet is a coastal fortification on the island of Rindö in the Stockholm archipelago, historically part of Sweden’s naval defenses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Byviksfortet Target entity description: Byviksfortet is a coastal fortification on the island of Rindö in the Stockholm archipelago, historically part of Sweden’s naval defenses.
-
A.
Paa Storhove
Paa Storhove is a literary work by the renowned Norwegian writer and Nobel laureate Bjørnstjerne Bjørnson.
-
B.
Brevik
Brevik is a locality within Tyresö Municipality in Stockholm County, Sweden, known for its coastal residential areas and proximity to the Stockholm archipelago.
-
C.
Mortensrud
Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
-
D.
Kvænangen
Kvænangen is a fjord in northern Norway known for its dramatic coastal scenery, rich marine life, and traditional fishing communities.
-
E.
Kongsseteren
Kongsseteren is a historic winter residence and retreat used by the Norwegian royal family near Oslo.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e82feee481908fa180ea8c9924fa |
completed | March 27, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adc8b06c81909791e38becb594f6 |
completed | March 28, 2026, 10:30 a.m. |
| NEDg | Description generation | batch_69c7ae5767408190860c1c7bc3a769fa |
completed | March 28, 2026, 10:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7aeb9373c8190ac2d282e8153201f |
completed | March 28, 2026, 10:34 a.m. |
Created at: March 27, 2026, 2:47 p.m.