Triple
T110888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Andreas Fault |
E2244
|
entity |
| Predicate | averageSlipRate |
P7349
|
FINISHED |
| Object | about 20 to 35 millimeters per year |
—
|
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 20 to 35 millimeters per year | Statement: [San Andreas Fault, averageSlipRate, about 20 to 35 millimeters per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageSlipRate Context triple: [San Andreas Fault, averageSlipRate, about 20 to 35 millimeters per year]
-
A.
averageSpreadingRate
Indicates the typical rate at which something (such as a phenomenon, substance, or influence) expands or propagates over a given distance or time.
-
B.
hasAverageSurfaceSpeed
Indicates the typical or mean speed at which something moves across a surface over a given period or distance.
-
C.
plateMotion
Indicates the movement or displacement of a tectonic plate relative to other plates or a reference frame.
-
D.
spreadingRateType
Indicates the manner or category of how quickly or in what way something spreads or propagates.
-
E.
dataRate
Indicates the rate at which data is transmitted, processed, or transferred between entities over a given time interval.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a258b58efc8190959c86f73d67b744 |
completed | Feb. 28, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69a25641058c8190b5b64509b35d8176 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a258b30f6c8190be2181f30c40e04d |
completed | Feb. 28, 2026, 2:53 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.