Triple
T22925767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyngby-Taarbæk Municipality |
E569301
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Sorgenfri
Sorgenfri is a suburban residential district north of Copenhagen in Denmark, known for its green surroundings and proximity to Lyngby.
|
E1562129
|
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: Sorgenfri | Statement: [Lyngby-Taarbæk Municipality, hasTown, Sorgenfri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sorgenfri Context triple: [Lyngby-Taarbæk Municipality, hasTown, Sorgenfri]
-
A.
Vanløse
Vanløse is a residential district in the western part of Copenhagen, Denmark, known for its local shopping streets, green areas, and strong public transport connections.
-
B.
Tivoli Friheden
Tivoli Friheden is an amusement park and recreational attraction located in Aarhus, Denmark.
-
C.
Alværn
Alværn is a small settlement in Nesodden municipality in Viken county, Norway, known primarily as a residential area within commuting distance of Oslo.
-
D.
Savner
Savner is a town in the Nagpur district of Maharashtra, India, known as a local commercial and residential center in the region.
-
E.
Sannat
Sannat is a small village on the island of Gozo in Malta, known for its traditional character and proximity to dramatic coastal cliffs.
- 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: Sorgenfri Triple: [Lyngby-Taarbæk Municipality, hasTown, Sorgenfri]
Generated description
Sorgenfri is a suburban residential district north of Copenhagen in Denmark, known for its green surroundings and proximity to Lyngby.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sorgenfri Target entity description: Sorgenfri is a suburban residential district north of Copenhagen in Denmark, known for its green surroundings and proximity to Lyngby.
-
A.
Vanløse
Vanløse is a residential district in the western part of Copenhagen, Denmark, known for its local shopping streets, green areas, and strong public transport connections.
-
B.
Tivoli Friheden
Tivoli Friheden is an amusement park and recreational attraction located in Aarhus, Denmark.
-
C.
Alværn
Alværn is a small settlement in Nesodden municipality in Viken county, Norway, known primarily as a residential area within commuting distance of Oslo.
-
D.
Savner
Savner is a town in the Nagpur district of Maharashtra, India, known as a local commercial and residential center in the region.
-
E.
Sannat
Sannat is a small village on the island of Gozo in Malta, known for its traditional character and proximity to dramatic coastal cliffs.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d90a9481908ea10019980b3951 |
completed | April 29, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc2496f50819098e4bd9a3fa3f6e4 |
completed | May 19, 2026, 1:52 a.m. |
| NEDg | Description generation | batch_6a0bc35c3ea08190a3b9111297774e6c |
completed | May 19, 2026, 1:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bc43eafe081909dfff8b40d624635 |
completed | May 19, 2026, 2 a.m. |
Created at: April 17, 2026, 3:43 p.m.