Triple
T23461343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pererenan Beach |
E568982
|
entity |
| Predicate | atmosphereComparedToCanggu |
P25329
|
FINISHED |
| Object | more laid-back |
—
|
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: more laid-back | Statement: [Pererenan Beach, atmosphereComparedToCanggu, more laid-back]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: atmosphereComparedToCanggu Context triple: [Pererenan Beach, atmosphereComparedToCanggu, more laid-back]
-
A.
popularityComparedToWhiteBeach
Indicates how the popularity of one entity compares relative to that of White Beach.
-
B.
hasAtmosphere
Indicates that an astronomical body possesses a surrounding layer of gases held by its gravity.
-
C.
homeMeetAtmosphere
Indicates the overall mood, environment, or ambiance experienced when meeting at someone's home.
-
D.
hasTraditionalAtmosphere
Indicates that something possesses a classic, customary, or historically rooted ambiance or mood, often reflecting long-established cultural or social practices.
-
E.
atmosphereStyle
chosen
Indicates the general mood, ambiance, or experiential character associated with a place, event, or environment.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a69bc200819096ed2baf25cdee4f |
completed | April 29, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:53 p.m.