Triple
T23422283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shelter Island Heights |
E560692
|
entity |
| Predicate | hasHistoricResortArchitecture |
P152220
|
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: [Shelter Island Heights, hasHistoricResortArchitecture, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricResortArchitecture Context triple: [Shelter Island Heights, hasHistoricResortArchitecture, yes]
-
A.
hasHistoricResortOrigin
Indicates that something originated as, or was originally established for use as, a historic resort.
-
B.
hasHistoricSite
Indicates that an entity possesses, contains, or is associated with a place recognized for its historical significance.
-
C.
containsHistoricFort
Indicates that a place or area includes within its boundaries a historic fort.
-
D.
hasHistoricHut
Indicates that an entity possesses, contains, or is associated with a historic hut.
-
E.
residenceHistoric
Indicates that a residence has historical significance or is formally recognized as a historic dwelling.
- 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a546c08c8190b57d90e88034eef3 |
completed | April 29, 2026, 6:29 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:46 p.m.