Triple
T7238100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ko Samui |
E155281
|
entity |
| Predicate | hasNearbyIsland |
P970
|
FINISHED |
| Object | Ko Tao |
E151104
|
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 Tao | Statement: [Ko Samui, hasNearbyIsland, Ko Tao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ko Tao Context triple: [Ko Samui, hasNearbyIsland, Ko Tao]
-
A.
Ko Tao
chosen
Ko Tao is a small island in the Gulf of Thailand renowned for its scuba diving, coral reefs, and laid-back beach tourism.
-
B.
Ko Tachai
Ko Tachai is a small Thai island in the Andaman Sea, known for its white-sand beaches, clear waters, and rich marine life popular with divers and snorkelers.
-
C.
Ko Nang Yuan
Ko Nang Yuan is a small, picturesque island near Ko Tao in Thailand, famous for its white sandbars connecting three islets and its clear waters ideal for snorkeling and diving.
-
D.
Haad Tien
Haad Tien is a quiet, scenic beach on Thailand’s Ko Pha Ngan island, known for its relaxed atmosphere, clear waters, and natural surroundings.
-
E.
Ko Poda
Ko Poda is a small, scenic island in Thailand’s Andaman Sea, known for its white-sand beaches, clear turquoise waters, and limestone cliffs, and is a popular day-trip destination from Krabi.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea368fb88190bd9e991e8b94dac6 |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc381a4081909a8ea7ee02348328 |
completed | March 28, 2026, 12:40 p.m. |
Created at: March 27, 2026, 2:55 p.m.