Triple
T25804124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proto-Samic |
E649915
|
entity |
| Predicate | hasReconstructionTradition |
P190989
|
FINISHED |
| Object | Finnish school of Uralic studies |
—
|
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: Finnish school of Uralic studies | Statement: [Proto-Samic, hasReconstructionTradition, Finnish school of Uralic studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReconstructionTradition Context triple: [Proto-Samic, hasReconstructionTradition, Finnish school of Uralic studies]
-
A.
containsReconstructionOf
Indicates that one entity includes or incorporates a recreated, restored, or reconstructed version of another entity.
-
B.
hasReconstructionStandard
Indicates that something is associated with or governed by a specific standard or guideline for how it should be reconstructed.
-
C.
hasAlternativeReconstruction
Indicates that there exists another possible way to reconstruct or represent the same underlying entity, structure, or configuration.
-
D.
hasReconstructionFeature
Indicates that something possesses a characteristic, component, or attribute specifically related to reconstruction.
-
E.
hasReconstructionSupportFrom
Indicates that one entity’s reconstruction (e.g., of an object, structure, or dataset) is backed, justified, or enabled by evidence, resources, or assistance provided by another entity.
- 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_69e7ab35d264819095367f7e80c983ff |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd866dd248190bff61c43bee93f54 |
completed | May 7, 2026, 6:22 p.m. |
Created at: April 22, 2026, 7:01 a.m.