Triple
T133297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Ocean |
E2696
|
entity |
| Predicate | hasIcebergs |
P4994
|
FINISHED |
| Object | large tabular icebergs calved from Antarctic ice shelves |
—
|
LITERAL 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: large tabular icebergs calved from Antarctic ice shelves | Statement: [Southern Ocean, hasIcebergs, large tabular icebergs calved from Antarctic ice shelves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIcebergs Context triple: [Southern Ocean, hasIcebergs, large tabular icebergs calved from Antarctic ice shelves]
-
A.
hasGlacier
Indicates that one entity possesses, contains, or is characterized by the presence of a glacier.
-
B.
hasOcean
Indicates that a geographic region, country, or landmass is bordered by or directly adjacent to a particular ocean.
-
C.
notableGlacier
Indicates that the subject is a glacier recognized for its particular significance, prominence, or noteworthiness.
-
D.
hasNotableSea
Indicates that an entity is associated with or contains a sea that is considered notable or significant.
-
E.
hasIsland
Indicates that one entity possesses, contains, or includes an island as part of its domain, territory, or structure.
- F. None of above. chosen
Provenance (4 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25788b2688190a45b39447f702551 |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a25650251c81908a6ea6368cd61198 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256ea776081908fec36c3fdfb8d84 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.