Triple
T5599451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Rubidoux |
E147078
|
entity |
| Predicate | hasSummitUse |
P64977
|
FINISHED |
| Object | viewpoint |
—
|
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: viewpoint | Statement: [Mount Rubidoux, hasSummitUse, viewpoint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSummitUse Context triple: [Mount Rubidoux, hasSummitUse, viewpoint]
-
A.
hasSummit
Indicates that one entity possesses, features, or includes a summit or highest point as part of its structure or characteristics.
-
B.
hasSummitFeature
Indicates that a summit (or peak) possesses a particular characteristic, attribute, or notable feature.
-
C.
hasSummitRegister
Indicates that a summit or peak possesses an official register or logbook for recording visitors or ascents.
-
D.
hasSummitTrail
Indicates that there exists a trail or route leading to the summit or highest point of a geographic feature.
-
E.
hasSummitMarker
Indicates that a location or peak is marked by an official summit marker or sign denoting its highest point.
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020d936dc8190a2e599f1df9fdd91 |
completed | March 22, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69c01b1890ec8190b9e6fa488792e4d4 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:38 p.m.