Triple

T30054818
Position Surface form Disambiguated ID Type / Status
Subject Paro District E763696 entity
Predicate hasDzong P108167 FINISHED
Object Rinpung Dzong
Rinpung Dzong is a historic fortress-monastery in Bhutan renowned for its traditional Bhutanese architecture and its role as both a religious center and administrative headquarters.
 E1898662 NE FINISHED

How this triple was built (3 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: Rinpung Dzong | Statement: [Paro District, hasDzong, Rinpung Dzong]
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: Rinpung Dzong
Triple: [Paro District, hasDzong, Rinpung Dzong]
Generated description
Rinpung Dzong is a historic fortress-monastery in Bhutan renowned for its traditional Bhutanese architecture and its role as both a religious center and administrative headquarters.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasDzong
Context triple: [Paro District, hasDzong, Rinpung Dzong]
  • A. capitalDzongOf chosen
    Indicates that one entity is the administrative capital (dzong) of a specified region or district.
  • B. hasZoo
    Indicates that one entity possesses, operates, or is associated with a zoo.
  • C. NorbulingkaStatus
    Indicates the current condition, designation, or preservation state associated with Norbulingka.
  • D. hasZiggurat
    Indicates that an entity possesses, contains, or is associated with a ziggurat structure.
  • E. hasPagoda
    Indicates that one entity possesses, contains, or is characterized by the presence of a pagoda.
  • F. None of above.

Provenance (6 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_6a27431258a081908c2486e2f927a6fd completed June 8, 2026, 10:32 p.m.
NEDg Description generation batch_6a2744373fd08190a5af6ba8fe6c2456 completed June 8, 2026, 10:37 p.m.
NED2 Entity disambiguation (via description) batch_6a2744f156208190b3617a3623b8b3ec completed June 8, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69f673c664f08190b4d66cdc305e10db completed May 2, 2026, 9:59 p.m.
Created at: April 29, 2026, 6:56 p.m.