Triple

T27645699
Position Surface form Disambiguated ID Type / Status
Subject Phugtal Monastery E696707 entity
Predicate valley P650 FINISHED
Object Tsarap River valley
The Tsarap River valley is a remote, rugged Himalayan valley in the Zanskar region of Ladakh, India, known for its dramatic gorges, high-altitude trekking routes, and ancient cliffside monasteries.
 E1785462 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: Tsarap River valley | Statement: [Phugtal Monastery, valley, Tsarap River 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: Tsarap River valley
Triple: [Phugtal Monastery, valley, Tsarap River valley]
Generated description
The Tsarap River valley is a remote, rugged Himalayan valley in the Zanskar region of Ladakh, India, known for its dramatic gorges, high-altitude trekking routes, and ancient cliffside monasteries.

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_69ef5909f3848190805f35b76833e722 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f6319513b881909c38f297ff102911 completed May 2, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12e44903b481909580fc84f92caabd completed May 24, 2026, 11:43 a.m.
NEDg Description generation batch_6a12e4fbf9cc8190b5bbff117668f81a completed May 24, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_6a12e5e1eafc8190912e291b91690548 completed May 24, 2026, 11:49 a.m.
Created at: April 27, 2026, 2:29 p.m.