Triple

T35746409
Position Surface form Disambiguated ID Type / Status
Subject Kyauk Ka Lat Pagoda E1033193 entity
Predicate hasNameInLanguage P15 FINISHED
Object Kyauk Ka Lat
Kyauk Ka Lat is a distinctive Buddhist pagoda complex in Hpa-An, Myanmar, famed for its dramatic spire-topped limestone rock rising from a small lake.
 E2155518 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: Kyauk Ka Lat | Statement: [Kyauk Ka Lat Pagoda, hasNameInLanguage, Kyauk Ka Lat]
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: Kyauk Ka Lat
Triple: [Kyauk Ka Lat Pagoda, hasNameInLanguage, Kyauk Ka Lat]
Generated description
Kyauk Ka Lat is a distinctive Buddhist pagoda complex in Hpa-An, Myanmar, famed for its dramatic spire-topped limestone rock rising from a small lake.

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_69f76e119d508190a3873cb302063832 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a193bec481909a83b202d36d5e3d completed May 3, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3885f054108190aab1c61e1baa0a41 completed June 22, 2026, 12:46 a.m.
NEDg Description generation batch_6a38868142e8819087358ae9d3ece01b completed June 22, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_6a388c6d344c81908659c78610b05daf completed June 22, 2026, 1:14 a.m.
Created at: May 3, 2026, 4:06 p.m.