Triple
T28933213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Atlantic Central Water |
E733842
|
entity |
| Predicate | propertyDistribution |
P172383
|
FINISHED |
| Object | horizontally extensive layer of nearly uniform properties |
—
|
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: horizontally extensive layer of nearly uniform properties | Statement: [North Atlantic Central Water, propertyDistribution, horizontally extensive layer of nearly uniform properties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propertyDistribution Context triple: [North Atlantic Central Water, propertyDistribution, horizontally extensive layer of nearly uniform properties]
-
A.
property
Indicates that one entity possesses, is characterized by, or has an attribute or quality associated with another entity.
-
B.
propertyDivisionWith
Indicates a relationship in which two or more parties are involved in dividing or allocating ownership or rights to property between them.
-
C.
propertyHeld
Indicates that a particular property is possessed, owned, or controlled by a specified entity.
-
D.
ownedProperty
Indicates that one entity possesses legal ownership or control over another entity as property.
-
E.
studiedProperty
Indicates that an entity has examined, researched, or analyzed a particular property or attribute of 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_69f05b0b49b08190b8994b339c7980f6 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aaf31a548190b2f792ff4b8c002a |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 28, 2026, 8:30 a.m.