Triple
T37045861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motu Motiro Hiva |
E916905
|
entity |
| Predicate | marineParkArea_km2 |
P41996
|
FINISHED |
| Object | about 150000 |
—
|
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: about 150000 | Statement: [Motu Motiro Hiva, marineParkArea_km2, about 150000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marineParkArea_km2 Context triple: [Motu Motiro Hiva, marineParkArea_km2, about 150000]
-
A.
marineReserveAreaSquareKilometres
chosen
Indicates the size of a marine reserve expressed as an area measured in square kilometres.
-
B.
marineProtectedAreaOf
Indicates that one entity is designated as a marine protected area that encompasses, is associated with, or provides protection for the other entity.
-
C.
areaMarine
Indicates that a location or region is part of, associated with, or designated as a marine (ocean or sea) area.
-
D.
marineProtectedArea
Indicates that an area of marine or coastal waters is designated and managed to conserve natural resources and biodiversity, often restricting certain human activities.
-
E.
marineAreaShare
Indicates the proportion of a larger marine area that is occupied, controlled, or otherwise attributed to a specific 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.