Triple

T26717863
Position Surface form Disambiguated ID Type / Status
Subject Rayong Province E673615 entity
Predicate hasNationalPark P105 FINISHED
Object Khao Laem Ya–Mu Ko Samet National Park
Khao Laem Ya–Mu Ko Samet National Park is a coastal marine national park in eastern Thailand known for its islands, beaches, coral reefs, and scenic seaside landscapes.
E1803853 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: Khao Laem Ya–Mu Ko Samet National Park | Statement: [Rayong Province, hasNationalPark, Khao Laem Ya–Mu Ko Samet National Park]
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: Khao Laem Ya–Mu Ko Samet National Park
Triple: [Rayong Province, hasNationalPark, Khao Laem Ya–Mu Ko Samet National Park]
Generated description
Khao Laem Ya–Mu Ko Samet National Park is a coastal marine national park in eastern Thailand known for its islands, beaches, coral reefs, and scenic seaside landscapes.

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_6a15c8d3bf0c8190a1e6c299f65fb1be completed May 26, 2026, 4:22 p.m.
NEDg Description generation batch_6a15ca33a1108190895682956756c2f1 completed May 26, 2026, 4:28 p.m.
NED2 Entity disambiguation (via description) batch_6a15caa74e9c8190ad43be1d8ed6ad15 completed May 26, 2026, 4:30 p.m.
Created at: April 27, 2026, 3:38 a.m.