Triple
T21196640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silicon Slopes technology corridor |
E522342
|
entity |
| Predicate | comparativeDescription |
P143520
|
FINISHED |
| Object | often compared to Silicon Valley |
—
|
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: often compared to Silicon Valley | Statement: [Silicon Slopes technology corridor, comparativeDescription, often compared to Silicon Valley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparativeDescription Context triple: [Silicon Slopes technology corridor, comparativeDescription, often compared to Silicon Valley]
-
A.
comparisonAspect
Indicates that two or more entities are being compared specifically with respect to a particular shared attribute or dimension.
-
B.
comparativeRole
Indicates a relationship where one entity’s role is compared to another’s in terms of level, importance, or function.
-
C.
differenceDescription
Indicates a textual explanation that characterizes how two entities differ from each other.
-
D.
comparativeStudy
Indicates a relationship where one entity conducts or embodies a study that systematically compares two or more entities, conditions, or variables.
-
E.
comparativeScale
Indicates a relationship where one entity is evaluated relative to another along a shared scale or dimension (such as size, intensity, or degree).
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7333bd7a0819084bbd1d6c111bc65 |
completed | April 21, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5fa92a2448190896c022dd27511ad |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 16, 2026, 3:08 p.m.