Triple
T16464405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phuket Big Buddha |
E399889
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Karon |
E1215296
|
NE 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: Karon | Statement: [Phuket Big Buddha, near, Karon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karon Context triple: [Phuket Big Buddha, near, Karon]
-
A.
Karon
chosen
Karon is a popular beach resort town on the west coast of Thailand’s Phuket Island, known for its long sandy beach, tourism infrastructure, and vibrant nightlife.
-
B.
Kari
Kari is a Finnish given name commonly used for both males and females.
-
C.
Karin
Karin is the main settlement and administrative center of Abemama Atoll in Kiribati.
-
D.
Karin
Karin is a feminine given name used in various cultures, often considered a variant of names like Karen or Katherine.
-
E.
Kara
Kara is a feminine given name used in various cultures, often associated with meanings like “beloved,” “friend,” or “pure.”
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d83687081908450657e1da6f6af |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00607618c8819090fc9f18ae5f30dd |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 5:10 a.m.