Triple
T29611197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarka Line |
E754726
|
entity |
| Predicate | inspiredByLandscapeOf |
P61130
|
FINISHED |
| Object | Henry Williamson’s novel "Tarka the Otter" |
E644474
|
NE 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: Henry Williamson’s novel "Tarka the Otter" | Statement: [Tarka Line, inspiredByLandscapeOf, Henry Williamson’s novel "Tarka the Otter"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredByLandscapeOf Context triple: [Tarka Line, inspiredByLandscapeOf, Henry Williamson’s novel "Tarka the Otter"]
-
A.
inspiredByPlace
Indicates that something (such as a work, idea, or creation) originates from or is significantly influenced by a particular location or environment.
-
B.
inspiredByOrRelatedTo
chosen
Indicates that one entity draws inspiration from, is influenced by, or is otherwise thematically or conceptually connected to another entity.
-
C.
hasScenicViewOf
Indicates that one entity offers a visually appealing or picturesque view of another entity.
-
D.
visualDesignInspiredBy
Indicates that the visual design of one entity is influenced, modeled, or derived from the visual style or appearance of another entity.
-
E.
inspiredByPhrase
Indicates that one entity’s creation, idea, or expression is motivated or shaped by the content or wording of a particular phrase.
- F. None of above.
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_69f0ef85f62081909842b59fdf8717e1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2661643af8819093679b3e91932a42 |
completed | June 8, 2026, 6:29 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 28, 2026, 6:28 p.m.