Triple
T12500350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangkok Airways |
E298802
|
entity |
| Predicate | notableDestination |
P35273
|
FINISHED |
| Object | Koh Samui |
E155281
|
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: Koh Samui | Statement: [Bangkok Airways, notableDestination, Koh Samui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koh Samui Context triple: [Bangkok Airways, notableDestination, Koh Samui]
-
A.
Ko Samui
chosen
Ko Samui is a popular Thai island in the Gulf of Thailand known for its palm-fringed beaches, luxury resorts, and vibrant nightlife.
-
B.
Koh Samet
Koh Samet is a small Thai island in the Gulf of Thailand known for its white-sand beaches, clear waters, and relaxed resort atmosphere.
-
C.
Ko Pha Ngan
Ko Pha Ngan is a popular Thai island in the Gulf of Thailand, best known for its beaches, tropical scenery, and monthly Full Moon Party.
-
D.
Koh Larn
Koh Larn is a small tropical island off the coast of Pattaya in the Gulf of Thailand, known for its white-sand beaches, clear waters, and popular day-trip snorkeling and water activities.
-
E.
Koh Kret
Koh Kret is a small island in the Chao Phraya River near Bangkok, Thailand, known for its Mon community, traditional pottery, and relaxed riverside atmosphere.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfbb2a48190a231b02cfa990565 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bb131608190b34a07a7026b160e |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.