Triple
T23639077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Elizabeth Land |
E583834
|
entity |
| Predicate | oceanSector |
P2975
|
FINISHED |
| Object | Indian Ocean sector of Antarctica |
—
|
NE NERFINISHED |
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: Indian Ocean sector of Antarctica | Statement: [Princess Elizabeth Land, oceanSector, Indian Ocean sector of Antarctica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oceanSector Context triple: [Princess Elizabeth Land, oceanSector, Indian Ocean sector of Antarctica]
-
A.
oceanicPortion
Indicates that one entity is a part or segment of an ocean or oceanic area in relation to another entity.
-
B.
seaType
Indicates the specific classification or category of a sea associated with an entity.
-
C.
seaOf
Indicates a relationship where one entity is metaphorically or literally surrounded or filled by another like a vast sea, emphasizing overwhelming abundance or expansiveness.
-
D.
marineArea
chosen
Indicates a relationship where an entity is located in, associated with, or relevant to a specific marine or oceanic area.
-
E.
marineResources
Indicates a relationship where one entity possesses, provides, or is associated with marine-based resources (such as fish, minerals, or other ocean-derived materials) used or managed by another entity.
- F. None of above.
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_69e248fe1c2c8190ac914d2442ff3d26 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b27fc22c8190abda7398b9fb928c |
completed | April 29, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:48 p.m.