Triple
T26872385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koh Chang |
E676645
|
entity |
| Predicate | hasPopularBeach |
P1922
|
FINISHED |
| Object | White Sand Beach |
—
|
NE NERFINISHED |
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: White Sand Beach | Statement: [Koh Chang, hasPopularBeach, White Sand Beach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPopularBeach Context triple: [Koh Chang, hasPopularBeach, White Sand Beach]
-
A.
hasPopularBeachArea
Indicates that a place includes or is associated with a beach area that is widely frequented and well-liked by visitors.
-
B.
hasBeach
chosen
Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
-
C.
hasBeachNearby
Indicates that one location is situated close enough to another location to have convenient access to a beach.
-
D.
hasBeachDestination
Indicates that a place is a destination characterized by having a beach suitable for visits or recreation.
-
E.
hasSurfingBeaches
Indicates that a location possesses beaches suitable or designated for surfing activities.
- 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_69eee9bb44988190b6e11652d028bc59 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: April 27, 2026, 5:33 a.m.