Triple

T23890058
Position Surface form Disambiguated ID Type / Status
Subject Sulawesi interior E600738 entity
Predicate contains P35 FINISHED
Object Bogani Nani Wartabone National Park
Bogani Nani Wartabone National Park is a major protected area in northern Sulawesi, Indonesia, known for its mountainous rainforest landscapes and rich biodiversity, including several endemic and endangered species.
E1613927 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: Bogani Nani Wartabone National Park | Statement: [Sulawesi interior, contains, Bogani Nani Wartabone 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: Bogani Nani Wartabone National Park
Triple: [Sulawesi interior, contains, Bogani Nani Wartabone National Park]
Generated description
Bogani Nani Wartabone National Park is a major protected area in northern Sulawesi, Indonesia, known for its mountainous rainforest landscapes and rich biodiversity, including several endemic and endangered species.

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_69e295341ac0819080647f2908af793c completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1cd029be48190b9319e59bf5d3a4d completed April 29, 2026, 9:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7e63432881909ce292811e565e37 completed May 21, 2026, 9:51 p.m.
NEDg Description generation batch_6a0f7f6d3d0c8190a408c4dee4ac1f93 completed May 21, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f8038a6d08190a2f763934018c64e completed May 21, 2026, 9:59 p.m.
Created at: April 17, 2026, 8:25 p.m.