Triple
T15198499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valby |
E363201
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Vigerslev
Vigerslev is a neighborhood within the Valby district of Copenhagen, Denmark, known primarily as a residential area with local amenities and transport links.
|
E1142885
|
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: Vigerslev | Statement: [Valby, hasSubdivision, Vigerslev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vigerslev Context triple: [Valby, hasSubdivision, Vigerslev]
-
A.
Vildbjerg
Vildbjerg is a Danish town that serves as the administrative center of the former Trehøje Municipality in the Central Denmark Region.
-
B.
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.
-
C.
Essing
Essing is a small Bavarian municipality known for its picturesque setting along the Altmühl River and historic architecture, including a notable wooden bridge.
-
D.
Lemvig
Lemvig is a small coastal town in western Denmark known for its harbor, hilly landscape, and location along the Limfjord.
-
E.
Solrød
Solrød is a coastal town in eastern Denmark, located on the shores of Køge Bay south of Copenhagen.
- 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: Vigerslev Triple: [Valby, hasSubdivision, Vigerslev]
Generated description
Vigerslev is a neighborhood within the Valby district of Copenhagen, Denmark, known primarily as a residential area with local amenities and transport links.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vigerslev Target entity description: Vigerslev is a neighborhood within the Valby district of Copenhagen, Denmark, known primarily as a residential area with local amenities and transport links.
-
A.
Vildbjerg
Vildbjerg is a Danish town that serves as the administrative center of the former Trehøje Municipality in the Central Denmark Region.
-
B.
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.
-
C.
Essing
Essing is a small Bavarian municipality known for its picturesque setting along the Altmühl River and historic architecture, including a notable wooden bridge.
-
D.
Lemvig
Lemvig is a small coastal town in western Denmark known for its harbor, hilly landscape, and location along the Limfjord.
-
E.
Solrød
Solrød is a coastal town in eastern Denmark, located on the shores of Køge Bay south of Copenhagen.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b476208190a5119710c518bb1f |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3342624819087be35acadd88136 |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed516a2008190bab6da27d28289e7 |
completed | May 9, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed57659a081909ec777549deff505 |
completed | May 9, 2026, 6:34 a.m. |
Created at: April 10, 2026, 3:10 a.m.