Triple

T27646898
Position Surface form Disambiguated ID Type / Status
Subject Nilgiri tea E696735 entity
Predicate belongsToTeaRegion P62960 FINISHED
Object South Indian tea region
The South Indian tea region is a major tea-producing area in southern India, known for its high-elevation estates that yield fragrant, brisk teas such as those from the Nilgiri hills.
 E1784410 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: South Indian tea region | Statement: [Nilgiri tea, belongsToTeaRegion, South Indian tea region]
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: South Indian tea region
Triple: [Nilgiri tea, belongsToTeaRegion, South Indian tea region]
Generated description
The South Indian tea region is a major tea-producing area in southern India, known for its high-elevation estates that yield fragrant, brisk teas such as those from the Nilgiri hills.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: belongsToTeaRegion
Context triple: [Nilgiri tea, belongsToTeaRegion, South Indian tea region]
  • A. teaProductionRegion chosen
    Indicates the region or area where tea is produced or cultivated.
  • B. partOfCoffeeRegion
    Indicates that one entity is a subregion or component area within a larger coffee-producing region.
  • C. connectsToAgriculturalRegion
    Indicates a relationship where something is linked or associated with an agricultural region, such as through proximity, infrastructure, or functional interaction.
  • D. coffeeSourcingRegion
    Indicates the geographic region from which the coffee was originally sourced or obtained.
  • E. cultivatedBy
    Indicates that something (such as land, crops, or plants) is grown, tended, or developed through the efforts or care of a particular agent.
  • 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_69ef590abd3c8190834d0193bde12007 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f7c29e1b848190b945c6c6120a5330 completed May 3, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12da93fbd8819084a038ee329b0c2e completed May 24, 2026, 11:01 a.m.
NEDg Description generation batch_6a12dc79a1048190b112b93adc40840e completed May 24, 2026, 11:09 a.m.
NED2 Entity disambiguation (via description) batch_6a12dcd845e48190ae11dab9d7de2e95 completed May 24, 2026, 11:11 a.m.
PD Predicate disambiguation batch_69f7c1b6e7a881908deb96bedb2713f4 completed May 3, 2026, 9:44 p.m.
Created at: April 27, 2026, 2:29 p.m.