Triple
T10632285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butler Library |
E250486
|
entity |
| Predicate | hasStacks |
P95081
|
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: [Butler Library, hasStacks, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStacks Context triple: [Butler Library, hasStacks, yes]
-
A.
isStackedWith
Indicates that one object is positioned directly on top of or beneath another object so that they form a vertical stack together.
-
B.
numberOfStacks
Indicates the count of distinct stacks associated with or contained within a given entity.
-
C.
stacking
Indicates that one entity is placed directly on top of another, forming a vertical arrangement or pile.
-
D.
hasStand
Indicates that an entity possesses, is equipped with, or is supported by a stand or base structure.
-
E.
stackingConfiguration
Indicates how multiple entities are arranged or layered on top of each other in a specific order or configuration.
- F. None of above. chosen
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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df95f5e88190b34ce3ec972759ef |
completed | April 8, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7fae088190973f70c69738af49 |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df463ea8819091d6683e476b4f21 |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:02 p.m.