Triple
T16464262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patong Beach |
E399887
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Phuket Island |
E93356
|
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: Phuket Island | Statement: [Patong Beach, locatedIn, Phuket Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phuket Island Context triple: [Patong Beach, locatedIn, Phuket Island]
-
A.
Lanta Islands
The Lanta Islands are a popular Thai archipelago in the Andaman Sea known for their laid-back atmosphere, sandy beaches, and excellent diving and snorkeling sites.
-
B.
Phuket
chosen
Phuket is Thailand’s largest island and a major beach and resort destination in the Andaman Sea, renowned for its vibrant nightlife, coastal scenery, and role as a hub for cultural festivals and tourism.
-
C.
Ko Samui
Ko Samui is a popular Thai island in the Gulf of Thailand known for its palm-fringed beaches, luxury resorts, and vibrant nightlife.
-
D.
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.
-
E.
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.
- 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_6a006ed25bcc819090ccca4705e4e24f |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:10 a.m.