Triple
T6905653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hwangnyeongsan |
E159805
|
entity |
| Predicate | viewBestTime |
P31097
|
FINISHED |
| Object | night |
—
|
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: night | Statement: [Hwangnyeongsan, viewBestTime, night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewBestTime Context triple: [Hwangnyeongsan, viewBestTime, night]
-
A.
latestTime
Indicates the most recent point in time at which the related event, state, or condition occurs or is valid among a set of possible times.
-
B.
bestObservedWith
Indicates that one entity is most effectively or appropriately observed, detected, or measured when used or considered together with another specified entity.
-
C.
bestVisitedAt
chosen
Indicates the optimal time or conditions under which a place or entity should be visited.
-
D.
bestOf
Indicates that one entity is the top-ranked or most outstanding member within a specified group, set, or collection.
-
E.
holdsBestFor
Indicates that one entity considers or maintains another entity as the most suitable or optimal choice for a particular purpose or 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d98b07f0819093595e958fa0317b |
completed | March 27, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b7681481909ec50509b19fcf81 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:25 p.m.