Triple
T4240883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belvedere Castle, Central Park |
E95408
|
entity |
| Predicate | hasViewpointRole |
P31096
|
FINISHED |
| Object | scenic lookout |
—
|
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: scenic lookout | Statement: [Belvedere Castle, Central Park, hasViewpointRole, scenic lookout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasViewpointRole Context triple: [Belvedere Castle, Central Park, hasViewpointRole, scenic lookout]
-
A.
hasViewpointType
chosen
Indicates that something is associated with or characterized by a particular type or category of viewpoint or perspective.
-
B.
perspectiveOf
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
C.
viewpointFrom
Indicates a relationship where something is observed, depicted, or described from the perspective or location of a particular entity or point.
-
D.
hasNotableRoleIn
Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, or context.
-
E.
possibleRole
Indicates that an entity is capable of or eligible to serve in a particular role or function in a given context.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e87c9d88190a093b1289df5b974 |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f587148190a1830503459939b6 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.