Triple
T30926653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ráith na Seanadh |
E787874
|
entity |
| Predicate | isWithinViewOf |
P74583
|
FINISHED |
| Object | other monuments on the Hill of Tara |
—
|
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: other monuments on the Hill of Tara | Statement: [Ráith na Seanadh, isWithinViewOf, other monuments on the Hill of Tara]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWithinViewOf Context triple: [Ráith na Seanadh, isWithinViewOf, other monuments on the Hill of Tara]
-
A.
isPartOfView
Indicates that one entity represents a view or perspective that is contained within, derived from, or included as a component of another view or larger visual/contextual structure.
-
B.
isViewableIn
chosen
Indicates that one entity can be visually accessed, observed, or displayed within the context, medium, or viewpoint defined by another entity.
-
C.
isPartiallyVisibleFrom
Indicates that one entity can be seen only in part, rather than fully, from the viewpoint or location of another entity.
-
D.
includesView
Indicates that one entity contains or presents the visual representation or perspective of another entity.
-
E.
hasView
Indicates that one entity provides a visual perspective or outlook onto another entity or scene.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:51 p.m.