Triple

T30054810
Position Surface form Disambiguated ID Type / Status
Subject Paro District E763696 entity
Predicate contains P35 FINISHED
Object Paro Valley
Paro Valley is a picturesque and historically significant valley in western Bhutan, known for its terraced fields, traditional architecture, and the iconic cliffside Taktsang (Tiger’s Nest) Monastery.
E763696 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: Paro Valley | Statement: [Paro District, contains, Paro Valley]
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: Paro Valley
Triple: [Paro District, contains, Paro Valley]
Generated description
Paro Valley is a picturesque and historically significant valley in western Bhutan, known for its terraced fields, traditional architecture, and the iconic cliffside Taktsang (Tiger’s Nest) Monastery.

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_69f224716378819087a722e487832b70 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67a193c2c819087b7b55a68199771 completed May 2, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a277bf9786881909950b75f27bbb3bd completed June 9, 2026, 2:35 a.m.
NEDg Description generation batch_6a277d09f32c8190a75331cdfafd9456 completed June 9, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_6a277dc406308190a2e54214a8851a14 completed June 9, 2026, 2:43 a.m.
Created at: April 29, 2026, 6:56 p.m.