Triple

T7822545
Position Surface form Disambiguated ID Type / Status
Subject Anjouan E181165 entity
Predicate majorCrop P1897 FINISHED
Object ylang-ylang
Ylang-ylang is a tropical tree native to Southeast Asia whose highly fragrant flowers are widely used in perfumery and aromatherapy.
 E695128 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: ylang-ylang | Statement: [Anjouan, majorCrop, ylang-ylang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ylang-ylang
Context triple: [Anjouan, majorCrop, ylang-ylang]
  • A. YLC
    YLC is the abbreviated name of the Young Liberals of Canada, the youth wing of the Liberal Party of Canada.
  • B. YLW
    YLW is the IATA airport code for Kelowna International Airport, a major regional airport serving Kelowna and the Okanagan Valley in British Columbia, Canada.
  • C. YUL
    YUL is the three-letter IATA airport code for Montréal–Trudeau International Airport, the primary international air gateway serving Montreal, Canada.
  • D. YL
    YL is the commonly used abbreviation for Young Labour, the youth wing of the UK Labour Party.
  • E. CYUL
    CYUL is the ICAO airport code for Montréal–Trudeau International Airport, the primary international airport serving Montreal, Canada.
  • 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: ylang-ylang
Triple: [Anjouan, majorCrop, ylang-ylang]
Generated description
Ylang-ylang is a tropical tree native to Southeast Asia whose highly fragrant flowers are widely used in perfumery and aromatherapy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ylang-ylang
Target entity description: Ylang-ylang is a tropical tree native to Southeast Asia whose highly fragrant flowers are widely used in perfumery and aromatherapy.
  • A. YLC
    YLC is the abbreviated name of the Young Liberals of Canada, the youth wing of the Liberal Party of Canada.
  • B. YLW
    YLW is the IATA airport code for Kelowna International Airport, a major regional airport serving Kelowna and the Okanagan Valley in British Columbia, Canada.
  • C. YUL
    YUL is the three-letter IATA airport code for Montréal–Trudeau International Airport, the primary international air gateway serving Montreal, Canada.
  • D. YL
    YL is the commonly used abbreviation for Young Labour, the youth wing of the UK Labour Party.
  • E. CYUL
    CYUL is the ICAO airport code for Montréal–Trudeau International Airport, the primary international airport serving Montreal, Canada.
  • 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cafa095d7081908b3e492ce58b5d5f completed March 30, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb14a526cc8190a8b1a3179f75ad6c completed March 31, 2026, 12:26 a.m.
NEDg Description generation batch_69cb1734159881909590ed51e8920387 completed March 31, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a6fc16c8190827593f58b9d742d completed March 31, 2026, 12:50 a.m.
Created at: March 30, 2026, 4:41 p.m.