Triple

T27565620
Position Surface form Disambiguated ID Type / Status
Subject Mangdechhu E695891 entity
Predicate associatedWith P37 FINISHED
Object Mangdechhu Hydroelectric Project Authority
Mangdechhu Hydroelectric Project Authority is the organization responsible for developing, managing, and operating the Mangdechhu hydroelectric power project in Bhutan.
E1778034 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: Mangdechhu Hydroelectric Project Authority | Statement: [Mangdechhu, associatedWith, Mangdechhu Hydroelectric Project Authority]
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: Mangdechhu Hydroelectric Project Authority
Triple: [Mangdechhu, associatedWith, Mangdechhu Hydroelectric Project Authority]
Generated description
Mangdechhu Hydroelectric Project Authority is the organization responsible for developing, managing, and operating the Mangdechhu hydroelectric power project in Bhutan.

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_6a12c5d0bd288190a56cb6672912614a completed May 24, 2026, 9:33 a.m.
NEDg Description generation batch_6a12c73af6348190aa55c00fcaf1d46c completed May 24, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_6a12c7d1f8e8819093ef8b94c1ec2816 completed May 24, 2026, 9:41 a.m.
Created at: April 27, 2026, 1:41 p.m.