Triple
T9255078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ørsted |
E222419
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
ORSTED
ORSTED is the stock ticker symbol for Ørsted A/S, a Danish multinational energy company known for being a global leader in offshore wind power and renewable energy solutions.
|
E788991
|
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: ORSTED | Statement: [Ørsted, tickerSymbol, ORSTED]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ORSTED Context triple: [Ørsted, tickerSymbol, ORSTED]
-
A.
Arestrup
Arestrup is a Danish-origin surname most notably borne by acclaimed French actor and screenwriter Niels Arestrup.
-
B.
Laustsen
Laustsen is a Danish surname most notably associated with acclaimed cinematographer Dan Laustsen.
-
C.
Kalundborg
Kalundborg is a historic Danish town on the island of Zealand, known for its medieval architecture and significant industrial and port activities.
-
D.
Ørsted satellite
The Ørsted satellite is a Danish scientific spacecraft launched in 1999 to map Earth's magnetic field with high precision.
-
E.
Osthoff
Osthoff is a German-language surname borne by various individuals, including those of notable public and historical prominence.
- 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: ORSTED Triple: [Ørsted, tickerSymbol, ORSTED]
Generated description
ORSTED is the stock ticker symbol for Ørsted A/S, a Danish multinational energy company known for being a global leader in offshore wind power and renewable energy solutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ORSTED Target entity description: ORSTED is the stock ticker symbol for Ørsted A/S, a Danish multinational energy company known for being a global leader in offshore wind power and renewable energy solutions.
-
A.
Arestrup
Arestrup is a Danish-origin surname most notably borne by acclaimed French actor and screenwriter Niels Arestrup.
-
B.
Laustsen
Laustsen is a Danish surname most notably associated with acclaimed cinematographer Dan Laustsen.
-
C.
Kalundborg
Kalundborg is a historic Danish town on the island of Zealand, known for its medieval architecture and significant industrial and port activities.
-
D.
Ørsted satellite
The Ørsted satellite is a Danish scientific spacecraft launched in 1999 to map Earth's magnetic field with high precision.
-
E.
Osthoff
Osthoff is a German-language surname borne by various individuals, including those of notable public and historical prominence.
- 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_69ca841e4cd481908e738c74e958eaea |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd06b3c314819096632b8263288aae |
completed | April 1, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09bde36688190bf66669f585dcee7 |
completed | April 4, 2026, 5:04 a.m. |
| NEDg | Description generation | batch_69d09d5047e8819082dbb2e44547b41c |
completed | April 4, 2026, 5:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d09dec544c819095e2109d5e1671d3 |
completed | April 4, 2026, 5:13 a.m. |
Created at: March 30, 2026, 7:31 p.m.