Triple
T20689514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Barrington |
E508510
|
entity |
| Predicate | reasonForNotClimbingMoreAlps |
P141062
|
FINISHED |
| Object | lack of money |
—
|
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: lack of money | Statement: [Charles Barrington, reasonForNotClimbingMoreAlps, lack of money]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForNotClimbingMoreAlps Context triple: [Charles Barrington, reasonForNotClimbingMoreAlps, lack of money]
-
A.
hasClimbingInterest
Indicates that an entity has an interest in or enthusiasm for climbing activities.
-
B.
hasPeakOver3000m
Indicates that the related geographic feature has at least one peak whose elevation exceeds 3000 meters above sea level.
-
C.
mountainRangeClimbedIn
Indicates that a particular mountain range is the location in which a climbing activity or ascent took place.
-
D.
mountainHeightClimbed
Indicates the height of a mountain that has been climbed by an entity.
-
E.
isLessClimbedThan
Indicates that one entity has been climbed fewer times than another entity.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10cb5588190acb88f2c82fc593a |
completed | April 21, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:05 p.m.