Triple
T25386442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Illecillewaet Glacier |
E631536
|
entity |
| Predicate | firstMajorStudiesDate |
P119289
|
FINISHED |
| Object | late 19th 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: late 19th century | Statement: [Illecillewaet Glacier, firstMajorStudiesDate, late 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMajorStudiesDate Context triple: [Illecillewaet Glacier, firstMajorStudiesDate, late 19th century]
-
A.
firstMajorArticulationDate
Indicates the date on which the first significant or primary articulation (such as a formal statement, definition, or expression) of something occurred.
-
B.
majorStudyYear
Indicates the academic year in which an entity (typically a student) is primarily engaged in a particular course of study or major.
-
C.
firstYearAsMajor
Indicates the year in which an entity first attained major status or classification.
-
D.
hasBeenStudiedSince
chosen
Indicates that an entity has been the subject of study or research starting from a specified point in time and continuing thereafter.
-
E.
studiedDuring
Indicates that an entity engaged in study or academic activity within a specified time period or interval.
- F. None of above.
Provenance (3 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_69e75a8c50788190aabaa9f96710fc43 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: April 21, 2026, 1:47 p.m.