Triple

T26717856
Position Surface form Disambiguated ID Type / Status
Subject Rayong Province E673615 entity
Predicate hasIsland P970 FINISHED
Object Ko Man Klang
Ko Man Klang is a small island located off the coast of Rayong Province in eastern Thailand, known for its quiet beaches and clear waters.
 E1737098 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 Man Klang | Statement: [Rayong Province, hasIsland, Ko Man Klang]
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: Ko Man Klang
Triple: [Rayong Province, hasIsland, Ko Man Klang]
Generated description
Ko Man Klang is a small island located off the coast of Rayong Province in eastern Thailand, known for its quiet beaches and clear waters.

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_69eecda481d08190aea69f2f7c745f56 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f617ff3a808190bb5cba40ba93830e completed May 2, 2026, 3:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11fe908d5481909ea164b99f0a2568 completed May 23, 2026, 7:22 p.m.
NEDg Description generation batch_6a11ff162d588190a1f98429d7fe5154 completed May 23, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_6a11ff99fdbc81909fd5646fb32987a2 completed May 23, 2026, 7:27 p.m.
Created at: April 27, 2026, 3:38 a.m.