Triple
T36172897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cowes Castle |
E1046192
|
entity |
| Predicate | convertedToClubhouse |
P186996
|
FINISHED |
| Object | 19th century |
—
|
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: 19th century | Statement: [Cowes Castle, convertedToClubhouse, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToClubhouse Context triple: [Cowes Castle, convertedToClubhouse, 19th century]
-
A.
clubhouseCompletedIn
Indicates that the construction or development of a clubhouse was finished in a specified time or year.
-
B.
clubhouseStyle
Indicates that one entity has a clubhouse characterized by a particular architectural or design style specified by the other entity.
-
C.
clubhouseNeighborhood
Indicates that a clubhouse is located within or associated with a particular neighborhood.
-
D.
clubhouseAddress
Indicates the physical address or location associated with a clubhouse.
-
E.
clubhouseOverlooks
Indicates that a clubhouse has a view over or looks out onto a particular area, feature, or location.
- 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb2e9309fc81909dfefd9020d6fbad |
completed | May 6, 2026, 12:05 p.m. |
Created at: May 3, 2026, 4:08 p.m.