Triple
T4052463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asahi Glass Foundation |
E84614
|
entity |
| Predicate | BluePlanetPrizeType |
P53013
|
FINISHED |
| Object | environmental award |
—
|
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: environmental award | Statement: [Asahi Glass Foundation, BluePlanetPrizeType, environmental award]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BluePlanetPrizeType Context triple: [Asahi Glass Foundation, BluePlanetPrizeType, environmental award]
-
A.
oceanographicType
Indicates the specific oceanographic classification or category associated with an entity, such as a type of ocean feature, condition, or measurement.
-
B.
marineLifeTrend
Indicates a change over time in the abundance, health, or distribution of marine life populations.
-
C.
hasBiosphere
Indicates that an entity possesses or supports a biosphere, i.e., a region where living organisms and ecological processes exist.
-
D.
seaType
Indicates the specific classification or category of a sea associated with an entity.
-
E.
oceanBasinType
Indicates the classification of an ocean basin according to its type or geomorphological category.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb869c34819097ec3bebe402d37b |
completed | March 9, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69aef90249e4819095e9e043bc4aa9a6 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aef9fcb31c819098d5287b6fc84f4e |
completed | March 9, 2026, 4:49 p.m. |
Created at: March 9, 2026, 3:37 p.m.