Triple
T15040417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Söderort |
E378584
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Liljeholmen
Liljeholmen is a district in southern Stockholm, Sweden, known for its waterfront location, residential areas, and commercial centers.
|
E1141440
|
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: Liljeholmen | Statement: [Söderort, hasPart, Liljeholmen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liljeholmen Context triple: [Söderort, hasPart, Liljeholmen]
-
A.
Blasieholmen
Blasieholmen is a central Stockholm peninsula known for its historic buildings, cultural institutions, and waterfront views across from the Old Town.
-
B.
Helgeandsholmen
Helgeandsholmen is a small central Stockholm islet best known as the site of the Swedish Parliament building and part of the historic city core.
-
C.
Thurø
Thurø is a small Danish island in the Baltic Sea known for its coastal scenery, beaches, and traditional maritime village atmosphere.
-
D.
Heggholmen
Heggholmen is a small island in the Oslofjord near Oslo, Norway, known for its coastal scenery and proximity to other islets like Gressholmen.
-
E.
Gentofte
Gentofte is a suburban municipality just north of central Copenhagen in eastern Denmark, known for its affluent residential areas and proximity to the Øresund coast.
- 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: Liljeholmen Triple: [Söderort, hasPart, Liljeholmen]
Generated description
Liljeholmen is a district in southern Stockholm, Sweden, known for its waterfront location, residential areas, and commercial centers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liljeholmen Target entity description: Liljeholmen is a district in southern Stockholm, Sweden, known for its waterfront location, residential areas, and commercial centers.
-
A.
Blasieholmen
Blasieholmen is a central Stockholm peninsula known for its historic buildings, cultural institutions, and waterfront views across from the Old Town.
-
B.
Helgeandsholmen
Helgeandsholmen is a small central Stockholm islet best known as the site of the Swedish Parliament building and part of the historic city core.
-
C.
Thurø
Thurø is a small Danish island in the Baltic Sea known for its coastal scenery, beaches, and traditional maritime village atmosphere.
-
D.
Heggholmen
Heggholmen is a small island in the Oslofjord near Oslo, Norway, known for its coastal scenery and proximity to other islets like Gressholmen.
-
E.
Gentofte
Gentofte is a suburban municipality just north of central Copenhagen in eastern Denmark, known for its affluent residential areas and proximity to the Øresund coast.
- 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_69fec87725348190a0da7555b62adbdc |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec9d32f388190aef036dde9cdda42 |
completed | May 9, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feca4a9db08190a083b5f0d9ec091b |
completed | May 9, 2026, 5:46 a.m. |
Created at: April 10, 2026, 3 a.m.