Triple

T6133030
Position Surface form Disambiguated ID Type / Status
Subject Rhododendron Species Botanical Garden E136763 entity
Predicate shortName P43 FINISHED
Object RSBG
RSBG is a botanical garden renowned for its extensive living collection and conservation of rhododendron species.
 E571977 NE FINISHED

How this triple was built (4 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: RSBG | Statement: [Rhododendron Species Botanical Garden, shortName, RSBG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RSBG
Context triple: [Rhododendron Species Botanical Garden, shortName, RSBG]
  • A. RGS
    RGS is the commonly used abbreviation for the Royal Geographical Society, the United Kingdom’s leading learned society and professional body for geography and geographers.
  • B. RSJ
    RSJ is a professional society in Japan dedicated to advancing research, development, and dissemination of knowledge in the field of robotics.
  • C. SRG
    SRG is the IATA airport code for Jenderal Ahmad Yani International Airport serving Semarang, Indonesia.
  • D. RRS
    RRS is the ship prefix used by the United Kingdom to designate Royal Research Ships engaged in scientific and exploratory missions.
  • E. BSG
    BSG is the IATA airport code for Bata Airport, serving the city of Bata in Equatorial Guinea.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: RSBG
Triple: [Rhododendron Species Botanical Garden, shortName, RSBG]
Generated description
RSBG is a botanical garden renowned for its extensive living collection and conservation of rhododendron species.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RSBG
Target entity description: RSBG is a botanical garden renowned for its extensive living collection and conservation of rhododendron species.
  • A. RGS
    RGS is the commonly used abbreviation for the Royal Geographical Society, the United Kingdom’s leading learned society and professional body for geography and geographers.
  • B. RSJ
    RSJ is a professional society in Japan dedicated to advancing research, development, and dissemination of knowledge in the field of robotics.
  • C. SRG
    SRG is the IATA airport code for Jenderal Ahmad Yani International Airport serving Semarang, Indonesia.
  • D. RRS
    RRS is the ship prefix used by the United Kingdom to designate Royal Research Ships engaged in scientific and exploratory missions.
  • E. BSG
    BSG is the IATA airport code for Bata Airport, serving the city of Bata in Equatorial Guinea.
  • F. None of above. chosen

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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c509848819089a2b2b58744bc25 completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135d75a588190a565026498bcce57 completed March 23, 2026, 12:45 p.m.
NEDg Description generation batch_69c137fb40e881909bdbd776c55a1f51 completed March 23, 2026, 12:54 p.m.
NED2 Entity disambiguation (via description) batch_69c1387a38788190b8cf2b04e5eeb5e3 completed March 23, 2026, 12:56 p.m.
Created at: March 22, 2026, 4:15 p.m.