Triple
T16434270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Promthep Cape |
E399142
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Rawai
Rawai is a coastal village and beach area at the southern tip of Phuket Island in Thailand, known for its seafood, sea gypsy community, and access to nearby viewpoints and islands.
|
E1213474
|
NE FINISHED |
How this triple was built (4 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: Rawai | Statement: [Promthep Cape, near, Rawai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rawai Context triple: [Promthep Cape, near, Rawai]
-
A.
Rakitin
Rakitin is a character in Ivan Turgenev’s play "Two Women" (also known as "A Month in the Country"), typically portrayed as an intelligent, observant friend whose unrequited love and ironic detachment highlight the emotional tensions among the main characters.
-
B.
Ranai
Ranai is the main town and administrative center of Indonesia’s remote Natuna Islands in the South China Sea.
-
C.
Sarawee
Sarawee is a small village located in Belize’s Stann Creek District, known for its rural setting and close-knit community.
-
D.
Rohin
Rohin is a central fictional protagonist characterized by an alluring, confident persona.
-
E.
Rawa
Rawa is a river known locally by that name, likely serving as a regional waterway in its area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rawai Triple: [Promthep Cape, near, Rawai]
Generated description
Rawai is a coastal village and beach area at the southern tip of Phuket Island in Thailand, known for its seafood, sea gypsy community, and access to nearby viewpoints and islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rawai Target entity description: Rawai is a coastal village and beach area at the southern tip of Phuket Island in Thailand, known for its seafood, sea gypsy community, and access to nearby viewpoints and islands.
-
A.
Rakitin
Rakitin is a character in Ivan Turgenev’s play "Two Women" (also known as "A Month in the Country"), typically portrayed as an intelligent, observant friend whose unrequited love and ironic detachment highlight the emotional tensions among the main characters.
-
B.
Ranai
Ranai is the main town and administrative center of Indonesia’s remote Natuna Islands in the South China Sea.
-
C.
Sarawee
Sarawee is a small village located in Belize’s Stann Creek District, known for its rural setting and close-knit community.
-
D.
Rohin
Rohin is a central fictional protagonist characterized by an alluring, confident persona.
-
E.
Rawa
Rawa is a river known locally by that name, likely serving as a regional waterway in its area.
- F. None of above. chosen
Provenance (5 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba01a1c8190b5a4700e2364ae63 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0045872a688190bcab27c6a2b952cd |
completed | May 10, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_6a00464f264081908faef31ef15f378a |
completed | May 10, 2026, 8:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a004767d1c88190814e83f09383e874 |
completed | May 10, 2026, 8:52 a.m. |
Created at: April 10, 2026, 5:10 a.m.