Triple
T635297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South American Plate |
E16609
|
entity |
| Predicate | boundaryTypeWithScotiaPlate |
P17377
|
FINISHED |
| Object | transform plate 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 plate boundary | Statement: [South American Plate, boundaryTypeWithScotiaPlate, transform plate boundary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boundaryTypeWithScotiaPlate Context triple: [South American Plate, boundaryTypeWithScotiaPlate, transform plate boundary]
-
A.
borderRegion
Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
-
B.
borderRegionOf
Indicates that one region lies along, touches, or forms part of the boundary of another region.
-
C.
borderDefinedBy
Indicates that the boundary or limit of one entity is determined, shaped, or delineated by another entity.
-
D.
borderedBy
Indicates that one entity shares a common boundary or edge 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. 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee667f08190a0332b8f6c569e1a |
completed | March 1, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69a49d0483908190a5ec42a7403c258e |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49defe58c8190bd39ef47c9f660a7 |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.