Triple

T36378940
Position Surface form Disambiguated ID Type / Status
Subject Ba Ria–Vung Tau Province E895987 entity
Predicate hasTouristAttraction P530 FINISHED
Object Con Dao National Park
Con Dao National Park is a protected marine and terrestrial reserve in southern Vietnam renowned for its rich biodiversity, coral reefs, sea turtles, and pristine island landscapes.
E2181965 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: Con Dao National Park | Statement: [Ba Ria–Vung Tau Province, hasTouristAttraction, Con Dao 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: Con Dao National Park
Triple: [Ba Ria–Vung Tau Province, hasTouristAttraction, Con Dao National Park]
Generated description
Con Dao National Park is a protected marine and terrestrial reserve in southern Vietnam renowned for its rich biodiversity, coral reefs, sea turtles, and pristine island 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_69f76e51d358819092bbc5f119f49476 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7bb191af8819085752b8046efc840 completed May 3, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39b42e34d881908519daa5c854436b completed June 22, 2026, 10:16 p.m.
NEDg Description generation batch_6a39b69746d88190b74cd108c74aa54f completed June 22, 2026, 10:26 p.m.
NED2 Entity disambiguation (via description) batch_6a39b7796e1c81909600a1b006e33ac8 completed June 22, 2026, 10:30 p.m.
Created at: May 3, 2026, 4:10 p.m.