Triple

T35803380
Position Surface form Disambiguated ID Type / Status
Subject Kawgun Cave E1035038 entity
Predicate hasView P854 FINISHED
Object Thanlwin River valley
The Thanlwin River valley is a broad, scenic river corridor in southeastern Myanmar known for its dramatic limestone cliffs, caves, and culturally significant landscapes along the Salween (Thanlwin) River.
E2155822 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: Thanlwin River valley | Statement: [Kawgun Cave, hasView, Thanlwin 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: Thanlwin River valley
Triple: [Kawgun Cave, hasView, Thanlwin River valley]
Generated description
The Thanlwin River valley is a broad, scenic river corridor in southeastern Myanmar known for its dramatic limestone cliffs, caves, and culturally significant landscapes along the Salween (Thanlwin) River.

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_69f76e169bd081909f16cd8c9ee7870c completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a25b62a08190a7f02e4531e9fcce completed May 3, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38916c5da08190ad03035b6c4fca3b completed June 22, 2026, 1:35 a.m.
NEDg Description generation batch_6a3891dc79dc8190bf2482158e0dabed completed June 22, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_6a38925d7c688190afca1a703aea06c3 completed June 22, 2026, 1:39 a.m.
Created at: May 3, 2026, 4:06 p.m.