Triple
T26171213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamai Beach |
E654404
|
entity |
| Predicate | isSecondLargestResortAreaOn |
P160004
|
FINISHED |
| Object | Ko Samui |
—
|
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: Ko Samui | Statement: [Lamai Beach, isSecondLargestResortAreaOn, Ko Samui]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSecondLargestResortAreaOn Context triple: [Lamai Beach, isSecondLargestResortAreaOn, Ko Samui]
-
A.
isLargestSkiAreaIn
Indicates that a ski area has the greatest size (e.g., by area or extent of slopes) within the specified region or set.
-
B.
isMajorSkiResortIn
Indicates that a location is recognized as a major ski resort situated within a specified geographic area or region.
-
C.
secondLargestGlacierIn
Indicates that a glacier is the second largest (by size or area) among all glaciers located within a specified region or territory.
-
D.
isSecondHighestPeakIn
Indicates that one entity is the mountain or peak with the second greatest elevation within the geographic or contextual set defined by the other entity.
-
E.
isAlpineResort
Indicates that the subject is a resort located in, or characteristic of, an alpine (mountainous) region.
- F. None of above. chosen
Provenance (4 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_69ee5b44391c81908bdbd8813ba9aa99 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c435d748190abc1b63303721551 |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 26, 2026, 8:35 p.m.