Triple
T9955201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chumphon Archipelago |
E195429
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Ko 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: Ko Samui | Statement: [Chumphon Archipelago, hasIsland, Ko Samui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ko Samui Context triple: [Chumphon Archipelago, hasIsland, Ko 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 Chang
Koh Chang is a large, mountainous Thai island in the Gulf of Thailand known for its lush rainforests, waterfalls, and popular beach resorts.
- 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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb69631d08190ab2b1d1c22d46da7 |
completed | April 2, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d257a164308190b88432b914ea7f1a |
completed | April 5, 2026, 12:37 p.m. |
Created at: March 30, 2026, 8:46 p.m.