Triple
T9213363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mads Nipper |
E221179
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Ørsted |
E222419
|
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: Ørsted | Statement: [Mads Nipper, employer, Ørsted]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ørsted Context triple: [Mads Nipper, employer, Ørsted]
-
A.
Ørsted
chosen
Ørsted is a Danish renewable energy company and one of the world’s leading developers and operators of offshore wind farms.
-
B.
SSE Renewables
SSE Renewables is a UK-based renewable energy company focused on developing, owning, and operating wind and hydroelectric power assets, particularly offshore wind farms.
-
C.
EDF Renewables
EDF Renewables is a global renewable energy company specializing in the development, construction, and operation of wind, solar, and energy storage projects.
-
D.
E.ON
E.ON is a major European energy company based in Germany that focuses on electricity generation, renewable energy, and energy infrastructure services.
-
E.
Vestas Wind Systems
Vestas Wind Systems is a Danish multinational company and one of the world’s leading manufacturers and service providers of wind turbines and renewable energy solutions.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda05406081909893bec3a092d3ce |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d06613daf88190a0128fd53ea1b134 |
completed | April 4, 2026, 1:15 a.m. |
Created at: March 30, 2026, 7:27 p.m.