Triple
T25870646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runo XL |
E651744
|
entity |
| Predicate | sequenceInKalevala |
P159369
|
FINISHED |
| Object | fiftieth poem |
—
|
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: fiftieth poem | Statement: [Runo XL, sequenceInKalevala, fiftieth poem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequenceInKalevala Context triple: [Runo XL, sequenceInKalevala, fiftieth poem]
-
A.
eraSequence
Indicates that one era or time period directly follows or precedes another in a chronological sequence.
-
B.
mythologicalTextMention
Indicates that a mythological text mentions, references, or otherwise explicitly refers to a given entity or concept.
-
C.
mythologicalContent
Indicates that the subject contains, references, or is associated with myths, mythological narratives, or myth-based elements.
-
D.
sequenceInFilm
Indicates that one entity is a specific sequence or segment that appears within the narrative or structure of a particular film.
-
E.
orderInKojiki
Indicates the relative sequence or position of something as it appears within the text of the Kojiki.
- F. None of above. chosen
Provenance (4 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_69e7ab3ad9d88190841ddcb93ab02e96 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f602dcb8348190a5507f570b54da5f |
completed | May 2, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_69f4939148dc81908706cec7d85291bc |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 22, 2026, 8:11 a.m.