Triple
T16919418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omega SA |
E410404
|
entity |
| Predicate | hasCollection |
P426
|
FINISHED |
| Object |
Aqua Terra
Aqua Terra is a line of Omega luxury wristwatches known for blending elegant design with robust, water-resistant performance suitable for both everyday wear and nautical environments.
|
E1240626
|
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: Aqua Terra | Statement: [Omega SA, hasCollection, Aqua Terra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aqua Terra Context triple: [Omega SA, hasCollection, Aqua Terra]
-
A.
Brinsea
Brinsea is a small hamlet in North Somerset, England, situated within the civil parish of Congresbury.
-
B.
Aquata
Aquata is one of King Triton’s mermaid daughters and a princess of Atlantica in Disney’s The Little Mermaid franchise.
-
C.
Okeanos
Okeanos is the primordial Greek god personifying the great encircling river believed to surround the world.
-
D.
Océan
Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
-
E.
Océan
Océan is a coastal department in Cameroon's South Region, known for its Atlantic shoreline and port towns.
- 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: Aqua Terra Triple: [Omega SA, hasCollection, Aqua Terra]
Generated description
Aqua Terra is a line of Omega luxury wristwatches known for blending elegant design with robust, water-resistant performance suitable for both everyday wear and nautical environments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aqua Terra Target entity description: Aqua Terra is a line of Omega luxury wristwatches known for blending elegant design with robust, water-resistant performance suitable for both everyday wear and nautical environments.
-
A.
Brinsea
Brinsea is a small hamlet in North Somerset, England, situated within the civil parish of Congresbury.
-
B.
Aquata
Aquata is one of King Triton’s mermaid daughters and a princess of Atlantica in Disney’s The Little Mermaid franchise.
-
C.
Okeanos
Okeanos is the primordial Greek god personifying the great encircling river believed to surround the world.
-
D.
Océan
Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
-
E.
Océan
Océan is a coastal department in Cameroon's South Region, known for its Atlantic shoreline and port towns.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cded2f8481909a20cc08b47e922e |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7c2c9cc8190b6d59d0a8edd078d |
completed | May 10, 2026, 6 p.m. |
| NEDg | Description generation | batch_6a00c8f445248190be5f3de196e40f1f |
completed | May 10, 2026, 6:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00cd2bbd9881909f5e216cb6262a72 |
completed | May 10, 2026, 6:23 p.m. |
Created at: April 10, 2026, 5:30 a.m.