Triple
T4856717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terra Australis |
E108553
|
entity |
| Predicate | graduallyDisappearedFrom |
P36305
|
FINISHED |
| Object | European maps |
—
|
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: European maps | Statement: [Terra Australis, graduallyDisappearedFrom, European maps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graduallyDisappearedFrom Context triple: [Terra Australis, graduallyDisappearedFrom, European maps]
-
A.
disappearedDuring
Indicates that an entity ceased to be observable or present during the time span or event associated with another entity.
-
B.
disappearance
Indicates that an entity ceases to be present, visible, or detectable in a given context or location.
-
C.
disappearanceFromSources
chosen
Indicates that an entity ceases to be mentioned or recorded in the available sources after a certain point in time.
-
D.
vanishIn
Indicates that one entity disappears or ceases to be perceptible within, or as part of, another entity or context.
-
E.
yearOfDisappearance
Indicates the specific year in which an entity disappeared or ceased to be present.
- 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2557388190a2d15571bacd24f3 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.