Triple
T28389031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Mountain (Nanshan) |
E719098
|
entity |
| Predicate | bestTimeForNightView |
P26548
|
FINISHED |
| Object | clear evenings |
—
|
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: clear evenings | Statement: [South Mountain (Nanshan), bestTimeForNightView, clear evenings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestTimeForNightView Context triple: [South Mountain (Nanshan), bestTimeForNightView, clear evenings]
-
A.
bestTimeForSunsetViews
Indicates the optimal time period during which sunset views are at their most visually appealing or enjoyable.
-
B.
associatedNightTiming
chosen
Indicates a relationship where an event, action, or condition is linked specifically to a time period occurring during the night.
-
C.
hasNightViewSpot
Indicates that a location offers a suitable vantage point for viewing the scenery or cityscape at night.
-
D.
bestTimeForPhotography
Indicates the most suitable or optimal time period for taking photographs, typically based on lighting or environmental conditions.
-
E.
bestTimeOfDayToVisit
Indicates the time of day during which visiting something is considered most optimal or desirable.
- 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_69eff6ef211081909d31d9be5f5567e6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64ceac7d48190be9d0929bcafd4bb |
completed | May 2, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 1:12 a.m.