Triple
T14056734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M1 (Copenhagen Metro) |
E338237
|
entity |
| Predicate | isElevatedIn |
P11729
|
FINISHED |
| Object | Ørestad area |
E348386
|
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: Ørestad area | Statement: [M1 (Copenhagen Metro), isElevatedIn, Ørestad area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ørestad area Context triple: [M1 (Copenhagen Metro), isElevatedIn, Ørestad area]
-
A.
Ørestad
chosen
Ørestad is a modern, rapidly developing district on the island of Amager in Copenhagen, known for its contemporary architecture, mixed-use urban planning, and proximity to both the city center and Copenhagen Airport.
-
B.
Valby
Valby is a district in Copenhagen, Denmark, known as an important local transport and residential area within the city.
-
C.
Ennore
Ennore is a coastal industrial and port suburb in the northern part of Chennai, Tamil Nadu, India.
-
D.
Østerbro district
Østerbro district is a central, affluent neighborhood in Copenhagen, Denmark, known for its waterfront areas, green spaces, and elegant residential streets.
-
E.
Hvidovre
Hvidovre is a suburban municipality in the Capital Region of Denmark, located just southwest of central Copenhagen.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8e6d008190af8892f34c5cefbd |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdefaabd0819098870522a6ce850c |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:20 p.m.