Triple
T17686948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederiksværk Line |
E440916
|
entity |
| Predicate | connectsTown |
P845
|
FINISHED |
| Object |
Skævinge
Skævinge is a small Danish town in North Zealand that lies along the Frederiksværk railway line.
|
E1285666
|
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: Skævinge | Statement: [Frederiksværk Line, connectsTown, Skævinge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skævinge Context triple: [Frederiksværk Line, connectsTown, Skævinge]
-
A.
Svaneke
Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
-
B.
Vildbjerg
Vildbjerg is a Danish town that serves as the administrative center of the former Trehøje Municipality in the Central Denmark Region.
-
C.
Nakskov
Nakskov is a historic port town in southern Denmark located on the island of Lolland, known for its maritime industry and coastal setting.
-
D.
Tysvær
Tysvær is a coastal municipality in southwestern Norway known for its fjords, islands, and location between the cities of Haugesund and Stavanger.
-
E.
Skrydstrup
Skrydstrup is a locality in Denmark known primarily for hosting the Royal Danish Air Force’s Fighter Wing Skrydstrup air base.
- 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: Skævinge Triple: [Frederiksværk Line, connectsTown, Skævinge]
Generated description
Skævinge is a small Danish town in North Zealand that lies along the Frederiksværk railway line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skævinge Target entity description: Skævinge is a small Danish town in North Zealand that lies along the Frederiksværk railway line.
-
A.
Svaneke
Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
-
B.
Vildbjerg
Vildbjerg is a Danish town that serves as the administrative center of the former Trehøje Municipality in the Central Denmark Region.
-
C.
Nakskov
Nakskov is a historic port town in southern Denmark located on the island of Lolland, known for its maritime industry and coastal setting.
-
D.
Tysvær
Tysvær is a coastal municipality in southwestern Norway known for its fjords, islands, and location between the cities of Haugesund and Stavanger.
-
E.
Skrydstrup
Skrydstrup is a locality in Denmark known primarily for hosting the Royal Danish Air Force’s Fighter Wing Skrydstrup air base.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e470488c4081909b747313ef97b69c |
completed | April 19, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0242ea294881909a7fba74d41ceb87 |
completed | May 11, 2026, 8:58 p.m. |
| NEDg | Description generation | batch_6a0246019bcc8190a16c934e9f0a9d01 |
completed | May 11, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a024674f46081909942775bf4419a7d |
completed | May 11, 2026, 9:13 p.m. |
Created at: April 10, 2026, 10:03 a.m.