Triple
T34245703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benioff zone |
E878590
|
entity |
| Predicate | typicalDipAngle |
P164434
|
FINISHED |
| Object | about 30 to 70 degrees |
—
|
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 30 to 70 degrees | Statement: [Benioff zone, typicalDipAngle, about 30 to 70 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDipAngle Context triple: [Benioff zone, typicalDipAngle, about 30 to 70 degrees]
-
A.
inclinationAngle
Indicates the angle at which one object or reference frame is tilted or inclined relative to another specified baseline or plane.
-
B.
hasTypicalAngle
Indicates that there is a characteristic or commonly occurring angle associated with the relationship between the entities.
-
C.
subductionZoneDip
chosen
Indicates the angle at which one tectonic plate descends beneath another along a subduction zone.
-
D.
slopeAngleRange
Indicates the range of possible or allowed slope angles associated with a given entity or context.
-
E.
dropAngle
Indicates the angle at which something is dropped or released relative to a reference direction or surface.
- 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_69f349b3618481909df955b063f305b2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:56 a.m.