Triple

T27565442
Position Surface form Disambiguated ID Type / Status
Subject Southern Bhutan E695887 entity
Predicate containsProtectedArea P855 FINISHED
Object Phibsoo Wildlife Sanctuary
Phibsoo Wildlife Sanctuary is a protected area in southern Bhutan known for its rich biodiversity, including rare and endangered species such as the golden langur and Bengal tiger.
 E1806113 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: Phibsoo Wildlife Sanctuary | Statement: [Southern Bhutan, containsProtectedArea, Phibsoo Wildlife Sanctuary]
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: Phibsoo Wildlife Sanctuary
Triple: [Southern Bhutan, containsProtectedArea, Phibsoo Wildlife Sanctuary]
Generated description
Phibsoo Wildlife Sanctuary is a protected area in southern Bhutan known for its rich biodiversity, including rare and endangered species such as the golden langur and Bengal tiger.

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_69ef53891af88190a193c5e2a1dac9b1 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62fbdc6a08190a091e3b9b685f068 completed May 2, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15d775f2f88190bfeec981aee6e557 completed May 26, 2026, 5:25 p.m.
NEDg Description generation batch_6a15d8daad5c8190a90f7cd2a49facf8 completed May 26, 2026, 5:31 p.m.
NED2 Entity disambiguation (via description) batch_6a15d94f29988190b69bc55be20dd8ab completed May 26, 2026, 5:33 p.m.
Created at: April 27, 2026, 1:41 p.m.