Triple
T15040420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Söderort |
E378584
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Gröndal
Gröndal is a residential district in southern Stockholm, Sweden, known for its waterfront location on Lake Mälaren and mix of early 20th-century and modern architecture.
|
E1148080
|
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: Gröndal | Statement: [Söderort, hasPart, Gröndal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gröndal Context triple: [Söderort, hasPart, Gröndal]
-
A.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
-
B.
Finnås
Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
-
C.
Suldal
Suldal is a large rural municipality in southwestern Norway known for its fjords, mountains, and hydroelectric power production.
-
D.
Steenodde
Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
-
E.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
- 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: Gröndal Triple: [Söderort, hasPart, Gröndal]
Generated description
Gröndal is a residential district in southern Stockholm, Sweden, known for its waterfront location on Lake Mälaren and mix of early 20th-century and modern architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gröndal Target entity description: Gröndal is a residential district in southern Stockholm, Sweden, known for its waterfront location on Lake Mälaren and mix of early 20th-century and modern architecture.
-
A.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
-
B.
Finnås
Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
-
C.
Suldal
Suldal is a large rural municipality in southwestern Norway known for its fjords, mountains, and hydroelectric power production.
-
D.
Steenodde
Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
-
E.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
- 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_69feef603b788190ad747d73af2363d4 |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef0f34c84819089e59789eeb12074 |
completed | May 9, 2026, 8:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef23174a88190bdbe89a7ded4c782 |
completed | May 9, 2026, 8:37 a.m. |
Created at: April 10, 2026, 3 a.m.