Triple
T12018958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omaha Performing Arts |
E286097
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
O-pa
O-pa is the commonly used abbreviation for Omaha Performing Arts, a major nonprofit organization that presents and supports live performing arts in Omaha, Nebraska.
|
E959526
|
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: O-pa | Statement: [Omaha Performing Arts, shortName, O-pa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O-pa Context triple: [Omaha Performing Arts, shortName, O-pa]
-
A.
Opol
Opol is a coastal municipality in Misamis Oriental, Philippines, known for its beaches, eco-tourism attractions, and proximity to Cagayan de Oro City.
-
B.
Opañel
Opañel is a Madrid Metro station serving the Carabanchel district in Spain.
-
C.
Opon
Opon is the former name of what is now Lapu-Lapu City, a highly urbanized city located on Mactan Island in the Philippines.
-
D.
Ōpunake
Ōpunake is a small coastal town on the west coast of New Zealand’s North Island, known for its surf beach and views of Mount Taranaki.
-
E.
Opolais
Opolais is the surname of Latvian soprano opera singer Kristīne Opolais, renowned for her dramatic roles on major international stages.
- 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: O-pa Triple: [Omaha Performing Arts, shortName, O-pa]
Generated description
O-pa is the commonly used abbreviation for Omaha Performing Arts, a major nonprofit organization that presents and supports live performing arts in Omaha, Nebraska.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: O-pa Target entity description: O-pa is the commonly used abbreviation for Omaha Performing Arts, a major nonprofit organization that presents and supports live performing arts in Omaha, Nebraska.
-
A.
Opol
Opol is a coastal municipality in Misamis Oriental, Philippines, known for its beaches, eco-tourism attractions, and proximity to Cagayan de Oro City.
-
B.
Opañel
Opañel is a Madrid Metro station serving the Carabanchel district in Spain.
-
C.
Opon
Opon is the former name of what is now Lapu-Lapu City, a highly urbanized city located on Mactan Island in the Philippines.
-
D.
Ōpunake
Ōpunake is a small coastal town on the west coast of New Zealand’s North Island, known for its surf beach and views of Mount Taranaki.
-
E.
Opolais
Opolais is the surname of Latvian soprano opera singer Kristīne Opolais, renowned for her dramatic roles on major international stages.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903dabf2c819084dcaa05ae0a6018 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b53cd08819084a9335449844f12 |
completed | May 1, 2026, 11:15 a.m. |
| NEDg | Description generation | batch_69f48fc6da4c81908442f18cb4a65b27 |
completed | May 1, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f495f069c48190a6e5856c272420c0 |
completed | May 1, 2026, noon |
Created at: April 8, 2026, 9:47 p.m.