Triple
T15198480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valby |
E363201
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Vesterbro |
E1082998
|
NE FINISHED |
How this triple was built (2 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: Vesterbro | Statement: [Valby, borderedBy, Vesterbro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vesterbro Context triple: [Valby, borderedBy, Vesterbro]
-
A.
Vesterbro
chosen
Vesterbro is a vibrant, formerly working-class district of Copenhagen known for its trendy bars, restaurants, and cultural scene.
-
B.
Nørrebro
Nørrebro is a vibrant, multicultural district in Copenhagen known for its lively street life, diverse communities, and mix of historic and modern urban culture.
-
C.
Østerbro district
Østerbro district is a central, affluent neighborhood in Copenhagen, Denmark, known for its waterfront areas, green spaces, and elegant residential streets.
-
D.
Nørreport
Nørreport is one of central Copenhagen’s busiest transport hubs, combining metro, S-train, and regional rail services in a major underground station.
-
E.
Indre By
Indre By is the historic city center of Copenhagen, Denmark, known for its cobblestone streets, canals, and many of the capital’s main cultural and architectural landmarks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ff908410548190ada5d4f71d52919b |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 3:10 a.m.