Triple
T6179370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenstone Museum |
E137899
|
entity |
| Predicate | hasSculptureTrail |
P53927
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Glenstone Museum, hasSculptureTrail, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSculptureTrail Context triple: [Glenstone Museum, hasSculptureTrail, yes]
-
A.
hasSculptureType
Indicates that an entity is associated with a sculpture and specifies the type or category of that sculpture.
-
B.
hasArtScene
Indicates that a place or community possesses an active or notable community of artistic activity, events, and institutions.
-
C.
hasTouristRoute
Indicates that a location or site is connected to or included in a designated tourist route or itinerary.
-
D.
hasInterpretiveTrails
chosen
Indicates that an entity provides or features designated trails accompanied by informational or educational materials to help visitors interpret and understand the surroundings.
-
E.
featuresSculptureOf
Indicates that one entity includes or displays a sculpture that depicts or represents another entity.
- 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_69c008a80f748190ba3d07ffc81acb29 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05dcb77948190b5385438f81bf0a8 |
completed | March 22, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c055fa0a808190bda37832e3ac150c |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:18 p.m.