Triple
T29650422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanjung Rhu Beach |
E750118
|
entity |
| Predicate | hasBestTimeFor |
P101963
|
FINISHED |
| Object | sunset |
—
|
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: sunset | Statement: [Tanjung Rhu Beach, hasBestTimeFor, sunset]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBestTimeFor Context triple: [Tanjung Rhu Beach, hasBestTimeFor, sunset]
-
A.
observationBestTime
Indicates that there is an identified optimal or most suitable time period during which the observation of something should be made.
-
B.
holdsBestFor
Indicates that one entity considers or maintains another entity as the most suitable or optimal choice for a particular purpose or context.
-
C.
bestTimeOfDayToVisit
chosen
Indicates the time of day during which visiting something is considered most optimal or desirable.
-
D.
hasBestTimeForSurfing
Indicates that a particular time or period is considered optimal for surfing conditions at a given location.
-
E.
operatesAtTime
Indicates that an action, process, or system is functioning or active during a specified time or time interval.
- 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_69f0d6226fe881908819197c9ef9ee04 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 28, 2026, 6:52 p.m.