Triple
T1063467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Tambora |
E22956
|
entity |
| Predicate | firstRecordedAscentAfter1815 |
P23015
|
FINISHED |
| Object | early 20th century |
—
|
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: early 20th century | Statement: [Mount Tambora, firstRecordedAscentAfter1815, early 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRecordedAscentAfter1815 Context triple: [Mount Tambora, firstRecordedAscentAfter1815, early 20th century]
-
A.
firstAscentOfHigherSummit
Indicates that the subject entity is the first recorded ascent of a summit that is higher than another referenced summit.
-
B.
firstAscentBy
Indicates the person or party that first successfully ascended or climbed a particular route, peak, or feature.
-
C.
firstAscent
Indicates that an entity represents the earliest known successful ascent or climb of a particular route, peak, or feature.
-
D.
firstAscentYear
Indicates the calendar year in which something (typically a route, peak, or climb) was first successfully ascended.
-
E.
firstFreeAscentOfTheNoseBy
Indicates that the subject is the climber or party who made the first free ascent of the route known as “The Nose.”
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8f85cc08190ae03ac6c84936cc5 |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b7359eb881909c868a558861cc18 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7da38888190a118ef20ce4ae9aa |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:42 p.m.