Triple
T15040642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hornstull |
E378589
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Liljeholmsviken
Liljeholmsviken is a narrow bay of Lake Mälaren in central Stockholm, separating the island of Södermalm from the district of Liljeholmen.
|
E1143786
|
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: Liljeholmsviken | Statement: [Hornstull, borderedBy, Liljeholmsviken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liljeholmsviken Context triple: [Hornstull, borderedBy, Liljeholmsviken]
-
A.
Kalmarsund
Kalmarsund is a strait in the Baltic Sea that separates the Swedish island of Öland from the mainland province of Småland.
-
B.
Riddarfjärden
Riddarfjärden is the easternmost bay of Lake Mälaren in central Stockholm, known for its iconic city skyline views and historic waterfront.
-
C.
Brunnsviken
Brunnsviken is a scenic bay in the Stockholm area of Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
-
D.
Södertörn
Södertörn is a large peninsula in eastern Sweden, south of Stockholm, known for its mix of suburban areas, forests, and coastline along the Baltic Sea.
-
E.
Mossesundet
Mossesundet is a strait in southeastern Norway that separates the town of Moss from the island of Jeløya.
- 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: Liljeholmsviken Triple: [Hornstull, borderedBy, Liljeholmsviken]
Generated description
Liljeholmsviken is a narrow bay of Lake Mälaren in central Stockholm, separating the island of Södermalm from the district of Liljeholmen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liljeholmsviken Target entity description: Liljeholmsviken is a narrow bay of Lake Mälaren in central Stockholm, separating the island of Södermalm from the district of Liljeholmen.
-
A.
Kalmarsund
Kalmarsund is a strait in the Baltic Sea that separates the Swedish island of Öland from the mainland province of Småland.
-
B.
Riddarfjärden
Riddarfjärden is the easternmost bay of Lake Mälaren in central Stockholm, known for its iconic city skyline views and historic waterfront.
-
C.
Brunnsviken
Brunnsviken is a scenic bay in the Stockholm area of Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
-
D.
Södertörn
Södertörn is a large peninsula in eastern Sweden, south of Stockholm, known for its mix of suburban areas, forests, and coastline along the Baltic Sea.
-
E.
Mossesundet
Mossesundet is a strait in southeastern Norway that separates the town of Moss from the island of Jeløya.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82e79a481908ddb9609af8c4407 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed31debb48190908d59178e67adb6 |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed50514b08190bc50d2e700d82e69 |
completed | May 9, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed5693ff08190b16b4c8fc8bdf959 |
completed | May 9, 2026, 6:34 a.m. |
Created at: April 10, 2026, 3 a.m.