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.