Triple
T3601558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cayman Trough |
E76266
|
entity |
| Predicate | isTypeOfBoundary |
P1972
|
FINISHED |
| Object | transform boundary |
—
|
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: transform boundary | Statement: [Cayman Trough, isTypeOfBoundary, transform boundary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTypeOfBoundary Context triple: [Cayman Trough, isTypeOfBoundary, transform boundary]
-
A.
hasBoundaryType
chosen
Indicates that one entity has a boundary characterized by a specific type or classification in relation to another entity or context.
-
B.
hasBoundaryFeature
Indicates that a boundary (such as an edge, border, or limit) of one entity is characterized, marked, or defined by a specific feature or element.
-
C.
isLegalBoundary
Indicates that something serves as an officially recognized dividing line that defines the limits of a legal jurisdiction, property, or authority.
-
D.
hasBorderRelation
Indicates that one entity shares a boundary or border with another entity.
-
E.
hasBorderFacilityType
Indicates that a border facility possesses or is classified by a specific type or category of border-related infrastructure or service.
- 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_69ad85d93dcc819094fba90cf70f4996 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc1dd264c819098796f5f50f251be |
completed | March 8, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69adb83b66708190bb9d2f23d6fd308e |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.