Triple
T7591473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Belt Bridge |
E179744
|
entity |
| Predicate | startPoint |
P389
|
FINISHED |
| Object |
Halsskov
Halsskov is a district and ferry port in the Danish town of Korsør on the island of Zealand, known as the western landfall of the Great Belt Bridge.
|
E675344
|
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: Halsskov | Statement: [Great Belt Bridge, startPoint, Halsskov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halsskov Context triple: [Great Belt Bridge, startPoint, Halsskov]
-
A.
Hellebæk
Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
-
B.
Blangsted
Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
-
C.
Vadsø
Vadsø is a small coastal town and administrative center in Finnmark, known for its Arctic location on the Varanger Peninsula and its role as a hub of Sami and Kven culture in Northern Norway.
-
D.
Vækerø
Vækerø is a residential and commercial area in Oslo, Norway, located along the western waterfront and known for its mix of housing, offices, and green spaces.
-
E.
Norderhov
Norderhov is a village in the municipality of Ringerike in Buskerud, Norway, known for its historic church and rural surroundings.
- 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: Halsskov Triple: [Great Belt Bridge, startPoint, Halsskov]
Generated description
Halsskov is a district and ferry port in the Danish town of Korsør on the island of Zealand, known as the western landfall of the Great Belt Bridge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Halsskov Target entity description: Halsskov is a district and ferry port in the Danish town of Korsør on the island of Zealand, known as the western landfall of the Great Belt Bridge.
-
A.
Hellebæk
Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
-
B.
Blangsted
Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
-
C.
Vadsø
Vadsø is a small coastal town and administrative center in Finnmark, known for its Arctic location on the Varanger Peninsula and its role as a hub of Sami and Kven culture in Northern Norway.
-
D.
Vækerø
Vækerø is a residential and commercial area in Oslo, Norway, located along the western waterfront and known for its mix of housing, offices, and green spaces.
-
E.
Norderhov
Norderhov is a village in the municipality of Ringerike in Buskerud, Norway, known for its historic church and rural surroundings.
- 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_69c69f335248819093c1006f30513708 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9b746ac8190b255afdfb9635f72 |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86192b5d88190b0a02cf303462bfb |
completed | March 28, 2026, 11:17 p.m. |
| NEDg | Description generation | batch_69c8628d252c8190bc67e90f497f1ada |
completed | March 28, 2026, 11:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8631e5c2c8190b1c593ca9bbf039c |
completed | March 28, 2026, 11:24 p.m. |
Created at: March 27, 2026, 3:53 p.m.