Triple
T28984474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storsjöodjuret |
E734640
|
entity |
| Predicate | earliestKnownWrittenAccount |
P66685
|
FINISHED |
| Object | 1635 |
—
|
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: 1635 | Statement: [Storsjöodjuret, earliestKnownWrittenAccount, 1635]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earliestKnownWrittenAccount Context triple: [Storsjöodjuret, earliestKnownWrittenAccount, 1635]
-
A.
earliestOfficialHistoriesOf
Indicates that one entity is the earliest known official historical account or record documenting the other entity.
-
B.
earliestKnownPeriod
Indicates the earliest historical or temporal period in which the subject is known or documented to have existed, occurred, or been relevant.
-
C.
attestedInWriting
chosen
Indicates that the relationship or fact is documented or confirmed in written form, such as in texts, records, or inscriptions.
-
D.
earliestTextsIn
Indicates that certain texts are among the earliest known examples found in or associated with a particular place or context.
-
E.
earliestKnownCivilization
Indicates that the subject is recognized as the first or oldest known civilization associated with the object (such as a region, culture, or time period).
- 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_69f05b0dd9b481908b7901e1c95ff6b2 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 28, 2026, 9:13 a.m.