Triple
T32001276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Falls in Lucy Park |
E817135
|
entity |
| Predicate | isScenicViewpoint |
P173105
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Falls in Lucy Park, isScenicViewpoint, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isScenicViewpoint Context triple: [The Falls in Lucy Park, isScenicViewpoint, true]
-
A.
hasScenicViewpoints
Indicates that something includes or provides locations specifically intended for enjoying scenic or panoramic views.
-
B.
isPartOfScenicVista
Indicates that something is included within, or contributes to, a larger scenic vista or panoramic view.
-
C.
hasScenicViewOf
Indicates that one entity offers a visually appealing or picturesque view of another entity.
-
D.
isScenicStartingPointFor
Indicates that a location serves as an especially picturesque or visually appealing starting point for a route, journey, or activity.
-
E.
isScenicHighPointOn
Indicates that a location is a notable scenic high point situated along or on a specified route, path, or area.
- 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b3fbfe4c8190bc1591394bc8ebb4 |
completed | May 3, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b21da77081908c5c015c4606d344 |
completed | May 3, 2026, 2:25 a.m. |
Created at: May 1, 2026, 12:14 a.m.