Triple
T19687699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Purgatory |
E472753
|
entity |
| Predicate | summitRepresents |
P136924
|
FINISHED |
| Object | restoration of original human innocence |
—
|
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: restoration of original human innocence | Statement: [Mount Purgatory, summitRepresents, restoration of original human innocence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: summitRepresents Context triple: [Mount Purgatory, summitRepresents, restoration of original human innocence]
-
A.
summitView
Indicates a vantage point or perspective that is obtained from the top or highest point of something, such as a mountain or structure.
-
B.
summitUsedBy
Indicates that a particular summit is utilized or accessed by a specified entity (such as a person, group, or organization).
-
C.
summitAppearance
Indicates an entity’s participation in or presence at a summit event or high-level meeting.
-
D.
summitCount
Indicates the number of summits or peak ascents associated with an entity.
-
E.
summitShape
Indicates the geometric form or contour that characterizes the topmost point or summit of an object or landform.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6420d39688190ad3a84dbffce4ffe |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:45 p.m.