Triple
T662081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Hall (Hockey Hall of Fame) |
E11776
|
entity |
| Predicate | hasCeilingType |
P18039
|
FINISHED |
| Object | ornate vaulted ceiling |
—
|
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: ornate vaulted ceiling | Statement: [Great Hall (Hockey Hall of Fame), hasCeilingType, ornate vaulted ceiling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCeilingType Context triple: [Great Hall (Hockey Hall of Fame), hasCeilingType, ornate vaulted ceiling]
-
A.
ceilingHeight
Indicates the vertical distance from the floor to the ceiling in a given space.
-
B.
hasFloor
Indicates that one entity possesses, includes, or is associated with a particular floor or level within a structure.
-
C.
hasBuildingHeightType
Indicates the classification or type used to characterize the height of a building in the relationship.
-
D.
hasStaircaseType
Indicates the specific type or design classification of a staircase associated with an entity.
-
E.
hasMezzanine
Indicates that one entity includes or is equipped with a mezzanine level in relation to another entity.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fd081e8819097f289961f5eff29 |
completed | March 1, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69a49d153a948190b3ccdc331ed33617 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49ee356c0819085e2e82831cf1360 |
completed | March 1, 2026, 8:17 p.m. |
Created at: March 1, 2026, 7:36 p.m.