Triple
T1320682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ross Sea |
E28209
|
entity |
| Predicate | MPAType |
P26499
|
FINISHED |
| Object | no-take zone in large core area |
—
|
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: no-take zone in large core area | Statement: [Ross Sea, MPAType, no-take zone in large core area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MPAType Context triple: [Ross Sea, MPAType, no-take zone in large core area]
-
A.
partAType
Indicates that one entity specifies or denotes the type or category of a particular part (part A) in relation to another entity.
-
B.
parentType
Indicates that one entity serves as the direct parent or higher-level type from which another entity is derived or classified.
-
C.
pegType
Indicates the specific category or kind of peg associated with or assigned to an entity.
-
D.
partBType
Indicates that one entity is classified as the type or category to which the second entity (part B) belongs.
-
E.
typeFamily
Indicates that one entity is classified as a family-related type or belongs to a family category in relation to another entity.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c179883c8190b68fbeebb9696982 |
completed | March 1, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69a4beedb49c8190beb5b85cdda05013 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bf8158ac8190b8360ecccc2980bc |
completed | March 1, 2026, 10:36 p.m. |
Created at: March 1, 2026, 7:55 p.m.