Triple

T24239127
Position Surface form Disambiguated ID Type / Status
Subject O Le Pupu-Puʿe National Park E603171 entity
Predicate isPartOf P10 FINISHED
Object Samoa national parks system
The Samoa national parks system is the network of protected natural areas in Samoa established to conserve the country’s unique tropical ecosystems, landscapes, and biodiversity.
 E1624059 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: Samoa national parks system | Statement: [O Le Pupu-Puʿe National Park, isPartOf, Samoa national parks system]
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: Samoa national parks system
Triple: [O Le Pupu-Puʿe National Park, isPartOf, Samoa national parks system]
Generated description
The Samoa national parks system is the network of protected natural areas in Samoa established to conserve the country’s unique tropical ecosystems, landscapes, and biodiversity.

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_69e2953f631c819097cbb421046bd417 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28a9eb68c81908a8293c00e581b41 completed April 29, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbd2fb45481908b3db6254e8f3bf6 completed May 22, 2026, 2:19 a.m.
NEDg Description generation batch_6a0fbdf3fc5c8190b8dc7e5c2416b02b completed May 22, 2026, 2:22 a.m.
NED2 Entity disambiguation (via description) batch_6a0fbe7e12188190803c1954112de4e6 completed May 22, 2026, 2:25 a.m.
Created at: April 18, 2026, 12:03 a.m.