Triple
T4200469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vatican Obelisk |
E86051
|
entity |
| Predicate | hasBaseShape |
P11451
|
FINISHED |
| Object | square pedestal |
—
|
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: square pedestal | Statement: [Vatican Obelisk, hasBaseShape, square pedestal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBaseShape Context triple: [Vatican Obelisk, hasBaseShape, square pedestal]
-
A.
baseShape
chosen
Indicates that one entity serves as the fundamental or underlying shape or form upon which another entity is defined, derived, or constructed.
-
B.
hasTerminalShape
Indicates that one entity possesses or exhibits a particular terminal (end) shape defined by another entity.
-
C.
hasSupportBase
Indicates that one entity serves as the supporting base or foundation upon which another entity rests, is mounted, or is structurally stabilized.
-
D.
hasSilhouetteShape
Indicates that one entity has the overall outline or contour shape specified or characterized by another entity.
-
E.
hasBaselineLength
Indicates that one entity has a specified baseline length measurement in relation to another entity or reference.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0363bbb8819093f396afe91972e2 |
completed | March 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69af01959c4881909eb1adcb3bdadbe6 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:49 p.m.