Triple
T10430182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opera Limited |
E245891
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
OPRA
OPRA is the stock ticker symbol for Opera Limited, a technology company best known for developing the Opera web browser.
|
E863819
|
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: OPRA | Statement: [Opera Limited, tickerSymbol, OPRA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OPRA Context triple: [Opera Limited, tickerSymbol, OPRA]
-
A.
Opry
Opry is the common shorthand name for the Grand Ole Opry, the iconic weekly country music stage concert and radio show based in Nashville, Tennessee.
-
B.
OPR
OPR is the post-nominal abbreviation used by recipients of the Polish state order known as the Order of Polonia Restituta.
-
C.
OPR
OPR is a dark, industrial-tinged electronic track by French techno producer Gesaffelstein, recognized as one of his signature works.
-
D.
O.P.
O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
-
E.
O.P.
O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
- 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: OPRA Triple: [Opera Limited, tickerSymbol, OPRA]
Generated description
OPRA is the stock ticker symbol for Opera Limited, a technology company best known for developing the Opera web browser.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OPRA Target entity description: OPRA is the stock ticker symbol for Opera Limited, a technology company best known for developing the Opera web browser.
-
A.
Opry
Opry is the common shorthand name for the Grand Ole Opry, the iconic weekly country music stage concert and radio show based in Nashville, Tennessee.
-
B.
OPR
OPR is the post-nominal abbreviation used by recipients of the Polish state order known as the Order of Polonia Restituta.
-
C.
OPR
OPR is a dark, industrial-tinged electronic track by French techno producer Gesaffelstein, recognized as one of his signature works.
-
D.
O.P.
O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
-
E.
O.P.
O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea62d6448190a7f5b785467824cf |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eb068bc8190be9c7c916850278e |
completed | April 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69d889c45b588190ad103b4bc8cc5fbd |
completed | April 10, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dbbe97c8190861e08f3ff39f91b |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 12:13 p.m.