Triple
T24112145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ynglinga saga |
E597404
|
entity |
| Predicate | chronologicalPositionIn |
P145731
|
FINISHED |
| Object | first saga in Heimskringla |
—
|
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: first saga in Heimskringla | Statement: [Ynglinga saga, chronologicalPositionIn, first saga in Heimskringla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicalPositionIn Context triple: [Ynglinga saga, chronologicalPositionIn, first saga in Heimskringla]
-
A.
chronologicalPosition
Indicates the relative ordering of one event or entity in time with respect to another.
-
B.
chronologicRank
chosen
Indicates the relative position or order of something within a sequence based on time.
-
C.
chronologicalPositionInLabors
Indicates the specific order or sequence in which a given labor occurs within a defined series of labors.
-
D.
chronologicalStatus
Indicates the temporal state or phase of something relative to a timeline or sequence of events.
-
E.
chronologicallyOrdered
Indicates that the related entities are arranged in the order in which they occur in time.
- 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_69e288c60f9c8190af948d7354aedbeb |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1de1bd81c8190a44f07487d2ba176 |
completed | April 29, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:03 p.m.