Triple
T5252847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geatland |
E118628
|
entity |
| Predicate | timeOfLiteraryAttestation |
P3921
|
FINISHED |
| Object | early Middle Ages |
—
|
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 Middle Ages | Statement: [Geatland, timeOfLiteraryAttestation, early Middle Ages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfLiteraryAttestation Context triple: [Geatland, timeOfLiteraryAttestation, early Middle Ages]
-
A.
literaryPeriodOfWork
Indicates the literary period or movement to which a particular work belongs.
-
B.
hasLiterarySignificance
Indicates that something holds notable importance, influence, or value within the realm of literature or literary studies.
-
C.
attestedFromCentury
Indicates the century from which there is evidence or documentation that something is known to exist or be in use.
-
D.
traditionallyLitAt
Indicates that something is customarily illuminated by something else according to tradition or established practice.
-
E.
firstClearlyAttestedIn
chosen
Indicates the earliest known point in time or source where something is clearly documented or evidenced.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b7cd7f4819098e591df07564a52 |
completed | March 20, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69bd77c30bac8190a883ca45da35d667 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:50 p.m.