Triple
T22727372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duquesne Gardens |
E562031
|
entity |
| Predicate | convertedToIceRink |
P149475
|
FINISHED |
| Object | 1895 |
—
|
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: 1895 | Statement: [Duquesne Gardens, convertedToIceRink, 1895]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToIceRink Context triple: [Duquesne Gardens, convertedToIceRink, 1895]
-
A.
performedOnIceRink
Indicates that an action or event took place on an ice rink as its physical setting or surface.
-
B.
usesStandardIceRink
Indicates that the activity, event, or entity operates on or is conducted within a regulation-size, standard ice rink.
-
C.
iceRinkType
Indicates the specific kind or category of an ice rink associated with an entity (e.g., indoor, outdoor, Olympic-sized).
-
D.
iceSurface
Indicates that something is located on, in contact with, or forming the surface of ice.
-
E.
hasIceArena
Indicates that one entity possesses, contains, or includes an ice arena as a facility or feature.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1792a2ee48190bfbdde1a72adfd25 |
completed | April 29, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:20 p.m.