Triple
T8703301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pellinge archipelago |
E206585
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Söderby
Söderby is a small village located within the Pellinge archipelago in southern Finland, known for its coastal scenery and traditional island life.
|
E751403
|
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: Söderby | Statement: [Pellinge archipelago, hasPart, Söderby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Söderby Context triple: [Pellinge archipelago, hasPart, Söderby]
-
A.
Söderort
Söderort is the southern suburban part of Stockholm, Sweden, consisting mainly of residential districts located south of the inner-city island of Södermalm.
-
B.
Hörby
Hörby is a small municipality in southern Sweden’s Skåne County, known for its rural landscape and traditional Swedish town character.
-
C.
Sundbyvester
Sundbyvester is a district of Copenhagen located on Amager Island, known primarily as a residential urban area.
-
D.
Ballstad
Ballstad is a fishing village in Norway’s Lofoten archipelago, known for its scenic coastal landscape and traditional maritime culture.
-
E.
Ronneby
Ronneby is a historic town in southern Sweden known for its well-preserved wooden architecture, spa traditions, and scenic location in Blekinge County.
- 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: Söderby Triple: [Pellinge archipelago, hasPart, Söderby]
Generated description
Söderby is a small village located within the Pellinge archipelago in southern Finland, known for its coastal scenery and traditional island life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Söderby Target entity description: Söderby is a small village located within the Pellinge archipelago in southern Finland, known for its coastal scenery and traditional island life.
-
A.
Söderort
Söderort is the southern suburban part of Stockholm, Sweden, consisting mainly of residential districts located south of the inner-city island of Södermalm.
-
B.
Hörby
Hörby is a small municipality in southern Sweden’s Skåne County, known for its rural landscape and traditional Swedish town character.
-
C.
Sundbyvester
Sundbyvester is a district of Copenhagen located on Amager Island, known primarily as a residential urban area.
-
D.
Ballstad
Ballstad is a fishing village in Norway’s Lofoten archipelago, known for its scenic coastal landscape and traditional maritime culture.
-
E.
Ronneby
Ronneby is a historic town in southern Sweden known for its well-preserved wooden architecture, spa traditions, and scenic location in Blekinge County.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58fa0a208190a520e0e1f7faaea9 |
completed | March 31, 2026, 11:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef41e3ec08190b29adf483cdf8cc3 |
completed | April 2, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69cef68b33948190a259870e320da5e5 |
completed | April 2, 2026, 11:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cef6fb42e48190b09d49d3a2fee4ae |
completed | April 2, 2026, 11:08 p.m. |
Created at: March 30, 2026, 6:34 p.m.