Triple
T20106934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muspilli |
E490201
|
entity |
| Predicate | timeOfManuscript |
P117112
|
FINISHED |
| Object | mid-9th 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: mid-9th century | Statement: [Muspilli, timeOfManuscript, mid-9th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfManuscript Context triple: [Muspilli, timeOfManuscript, mid-9th century]
-
A.
manuscriptDiscoveryDate
Indicates the date on which a particular manuscript was discovered or first brought to scholarly or public attention.
-
B.
manuscriptCentury
chosen
Indicates the century during which a manuscript was created, copied, or primarily produced.
-
C.
latestManuscriptsDateTo
Indicates the most recent date up to which the manuscripts in question are known, valid, or considered.
-
D.
manuscript
Indicates that an entity is a written or typed document, often a draft or original version of a text, associated with another entity (such as its author, subject, or publication process).
-
E.
numberOfManuscriptsApprox
Indicates an approximate count of manuscripts associated with an entity.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666dcb8d4819091889e19dd9137a6 |
completed | April 20, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69e54cf788188190a46cc49c9ce7617f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:28 p.m.