Triple
T15286359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lehr-Spławiński school of reconstruction |
E365409
|
entity |
| Predicate | theoreticalScope |
P100397
|
FINISHED |
| Object | proto-language reconstruction |
—
|
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: proto-language reconstruction | Statement: [Lehr-Spławiński school of reconstruction, theoreticalScope, proto-language reconstruction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theoreticalScope Context triple: [Lehr-Spławiński school of reconstruction, theoreticalScope, proto-language reconstruction]
-
A.
subjectMatterScope
Indicates the thematic or topical domain that an action, statement, or resource pertains to or falls within.
-
B.
conceptualScope
chosen
Indicates the range or domain of ideas, concepts, or topics that something (such as a work, theory, or term) is intended to cover or address.
-
C.
theoreticalInspiration
Indicates that one entity serves as a conceptual or intellectual source of ideas, models, or frameworks that inform or shape the theory or approach of another entity.
-
D.
publicationScope
Indicates the extent, audience, or boundaries within which something (such as a work, data, or information) is made publicly available or distributed.
-
E.
theorizedInField
Indicates that a theory, idea, or hypothesis was formulated or developed within a particular academic or scientific field.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e551bb0819094db097285443740 |
completed | April 15, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.