Triple
T381869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | abdication crisis of 1936 |
E8697
|
entity |
| Predicate | chronologyWithinYear |
P376
|
FINISHED |
| Object | December 1936 climax |
—
|
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: December 1936 climax | Statement: [abdication crisis of 1936, chronologyWithinYear, December 1936 climax]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologyWithinYear Context triple: [abdication crisis of 1936, chronologyWithinYear, December 1936 climax]
-
A.
yearType
Indicates the classification or category assigned to a specific year (e.g., academic, fiscal, calendar, leap).
-
B.
yearDescribed
Indicates the year in which something (typically a species, object, or concept) was formally described or documented.
-
C.
year
chosen
Indicates the specific calendar year associated with an entity, event, or fact.
-
D.
chronologyWithinReignOf
Indicates that one event or time period occurs entirely within the span of a specified ruler’s reign.
-
E.
chronologicallyAfter
Indicates that one event or state occurs later in time than another.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec2e3d5c8190b358bd9fd6b16a14 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e96602188190b0cbc167f55a9237 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.