Triple
T9524403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beinn Bhragaidh |
E229723
|
entity |
| Predicate | inspirationType |
P40291
|
FINISHED |
| Object | linguistic inspiration |
—
|
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: linguistic inspiration | Statement: [Beinn Bhragaidh, inspirationType, linguistic inspiration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspirationType Context triple: [Beinn Bhragaidh, inspirationType, linguistic inspiration]
-
A.
inspiration
Indicates that one entity serves as a motivating or creative influence that stimulates ideas, actions, or feelings in another entity.
-
B.
inspirationConcept
Indicates that one concept serves as a source of inspiration or creative influence for another concept.
-
C.
genreOfInspiration
chosen
Indicates that one entity serves as the inspirational genre or stylistic source for the creation, style, or classification of another entity.
-
D.
motivationalTheme
Indicates a recurring motivational idea, message, or emotional driver that underlies or inspires an entity’s actions or presentation.
-
E.
viewOnInspiration
Indicates a relationship where one entity expresses or holds a particular perspective, opinion, or stance regarding inspiration.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9899f99481908d374528716027f8 |
completed | April 1, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cca56a3d088190bdc16670678fb6c6 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:59 p.m.