Triple
T22133833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haderslev Dam |
E546972
|
entity |
| Predicate | hasAdjacentPark |
P13799
|
FINISHED |
| Object |
Damparken
Damparken is a public park in Haderslev, Denmark, known for its green recreational areas and scenic location by Haderslev Dam.
|
E1519869
|
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: Damparken | Statement: [Haderslev Dam, hasAdjacentPark, Damparken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damparken Context triple: [Haderslev Dam, hasAdjacentPark, Damparken]
-
A.
Tantolunden
Tantolunden is a large park and recreational area in Stockholm known for its allotment gardens, waterfront, and outdoor activities.
-
B.
Parnkalla
Parnkalla is an alternative ethnonym for the Barngarla, an Aboriginal Australian people traditionally associated with the Eyre Peninsula region of South Australia.
-
C.
Dyrholm
Dyrholm is a Danish surname most notably borne by acclaimed actress and singer Trine Dyrholm.
-
D.
Karlaplan
Karlaplan is a prominent circular plaza and park with a central fountain in the Östermalm district of Stockholm, Sweden.
-
E.
Danzau
Danzau is a musical track associated with the artist or project ENOC.
- 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: Damparken Triple: [Haderslev Dam, hasAdjacentPark, Damparken]
Generated description
Damparken is a public park in Haderslev, Denmark, known for its green recreational areas and scenic location by Haderslev Dam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Damparken Target entity description: Damparken is a public park in Haderslev, Denmark, known for its green recreational areas and scenic location by Haderslev Dam.
-
A.
Tantolunden
Tantolunden is a large park and recreational area in Stockholm known for its allotment gardens, waterfront, and outdoor activities.
-
B.
Parnkalla
Parnkalla is an alternative ethnonym for the Barngarla, an Aboriginal Australian people traditionally associated with the Eyre Peninsula region of South Australia.
-
C.
Dyrholm
Dyrholm is a Danish surname most notably borne by acclaimed actress and singer Trine Dyrholm.
-
D.
Karlaplan
Karlaplan is a prominent circular plaza and park with a central fountain in the Östermalm district of Stockholm, Sweden.
-
E.
Danzau
Danzau is a musical track associated with the artist or project ENOC.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129b8f4248190b6342c8d00942c25 |
completed | April 28, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8f2bd49c81908a75359074a0ada2 |
completed | May 18, 2026, 4:01 a.m. |
| NEDg | Description generation | batch_6a0a91ef8d188190a6ec20d6c43aef91 |
completed | May 18, 2026, 4:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a9266624c81908eb06a0fc02b85d4 |
completed | May 18, 2026, 4:15 a.m. |
Created at: April 16, 2026, 8:32 p.m.