Triple
T1130537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boy |
E23019
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | The Ocean |
E19288
|
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: The Ocean | Statement: [Boy, hasPart, The Ocean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Ocean Context triple: [Boy, hasPart, The Ocean]
-
A.
Océan
Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
-
B.
The High Seas
"The High Seas" is an episode of the nature documentary series "Our Planet" that explores the diverse and often unseen life and ecosystems found in the open ocean.
-
C.
The Sea
The Sea is a painting by British artist L. S. Lowry, known for its minimalist seascape composition and characteristic muted palette.
-
D.
Oceanus
Oceanus is a primordial Titan in Greek mythology who personifies the vast, encircling river believed to surround the world.
-
E.
World Ocean
chosen
The World Ocean is the interconnected system of Earth's major oceanic divisions that together form a single, continuous body of saltwater covering most of the planet's surface.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bbf979108190adad7073c8275dd2 |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac59aa261881908c7ceedf710ee9c8 |
completed | March 7, 2026, 5 p.m. |
Created at: March 1, 2026, 7:44 p.m.