Triple
T15198500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valby |
E363201
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Kulbanekvarteret
Kulbanekvarteret is a residential neighborhood in the Valby district of Copenhagen, Denmark, known for its mix of housing and urban redevelopment.
|
E1142886
|
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: Kulbanekvarteret | Statement: [Valby, hasSubdivision, Kulbanekvarteret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kulbanekvarteret Context triple: [Valby, hasSubdivision, Kulbanekvarteret]
-
A.
Kalbakken
Kalbakken is a residential neighborhood in Oslo, Norway, known for its apartment blocks, green areas, and access to public transportation.
-
B.
Grubbegata
Grubbegata is a street in central Oslo, Norway, known for running through the area that houses key government buildings and institutions.
-
C.
Slussen
Slussen is a major transport hub and metro station in central Stockholm, serving as a key interchange between multiple subway lines and other public transit.
-
D.
Sickla Köpkvarter
Sickla Köpkvarter is a large shopping and entertainment district in the Sickla area of Nacka, just outside central Stockholm, Sweden.
-
E.
Lilla Nygatan
Lilla Nygatan is a historic street in Stockholm’s Old Town (Gamla stan), known for its preserved medieval character and traditional urban streetscape.
- 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: Kulbanekvarteret Triple: [Valby, hasSubdivision, Kulbanekvarteret]
Generated description
Kulbanekvarteret is a residential neighborhood in the Valby district of Copenhagen, Denmark, known for its mix of housing and urban redevelopment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kulbanekvarteret Target entity description: Kulbanekvarteret is a residential neighborhood in the Valby district of Copenhagen, Denmark, known for its mix of housing and urban redevelopment.
-
A.
Kalbakken
Kalbakken is a residential neighborhood in Oslo, Norway, known for its apartment blocks, green areas, and access to public transportation.
-
B.
Grubbegata
Grubbegata is a street in central Oslo, Norway, known for running through the area that houses key government buildings and institutions.
-
C.
Slussen
Slussen is a major transport hub and metro station in central Stockholm, serving as a key interchange between multiple subway lines and other public transit.
-
D.
Sickla Köpkvarter
Sickla Köpkvarter is a large shopping and entertainment district in the Sickla area of Nacka, just outside central Stockholm, Sweden.
-
E.
Lilla Nygatan
Lilla Nygatan is a historic street in Stockholm’s Old Town (Gamla stan), known for its preserved medieval character and traditional urban streetscape.
- 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.