Triple
T25870487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runo I |
E651738
|
entity |
| Predicate | meterUsedIn |
P142894
|
FINISHED |
| Object | Kalevalaic verse |
—
|
NE NERFINISHED |
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: Kalevalaic verse | Statement: [Runo I, meterUsedIn, Kalevalaic verse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meterUsedIn Context triple: [Runo I, meterUsedIn, Kalevalaic verse]
-
A.
meter
Indicates a measurement relationship where one entity quantifies the length, distance, or extent of another in meters.
-
B.
meterForm
chosen
Indicates that one entity is the specific metrical pattern or verse form in which another entity (such as a poem or song) is composed.
-
C.
meterSystem
Indicates that one entity uses, is measured in, or is associated with a particular system of meters or measurement units.
-
D.
usesMetric
Indicates that one entity adopts, applies, or relies on a particular metric or measurement standard in its operation, evaluation, or description.
-
E.
metre
Indicates a measurement relationship where one entity’s length, distance, or size is quantified in units of metres.
- 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_69e7ab3ad9d88190841ddcb93ab02e96 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f602db41d08190b3c1b0b7d904b4bc |
completed | May 2, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_69f4939148dc81908706cec7d85291bc |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 8:11 a.m.