Triple

T10063629
Position Surface form Disambiguated ID Type / Status
Subject Munnar E213045 entity
Predicate teaEstateOperator P91902 FINISHED
Object Tata Tea (historically) E759312 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: Tata Tea (historically) | Statement: [Munnar, teaEstateOperator, Tata Tea (historically)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tata Tea (historically)
Context triple: [Munnar, teaEstateOperator, Tata Tea (historically)]
  • A. Tata Tea chosen
    Tata Tea is a major Indian tea brand and beverage company, part of the Tata Group, known for its wide range of packaged teas and strong presence in the domestic and international markets.
  • B. Lipton
    Lipton is a globally recognized tea brand offering a wide range of tea products, including black, green, and herbal varieties.
  • C. Roshen
    Roshen is a major Ukrainian confectionery corporation known for producing a wide range of chocolates, candies, and other sweets and for being one of Eastern Europe’s largest candy manufacturers.
  • D. Tea City of India
    Tea City of India is a popular nickname for Dibrugarh, a major tea-producing and commercial hub in the Indian state of Assam.
  • E. Schweppes
    Schweppes is a historic beverage brand best known for its carbonated soft drinks and tonic waters, now owned and marketed in many regions by The Coca-Cola Company.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: teaEstateOperator
Context triple: [Munnar, teaEstateOperator, Tata Tea (historically)]
  • A. teaBrand
    Indicates that one entity is a brand or producer associated with a particular type or product line of tea for the other entity.
  • B. hasTeeBoxes
    Indicates that a golf course or hole is equipped with one or more tee boxes from which players begin play.
  • C. teaType
    Indicates the specific variety or category of tea associated with an entity.
  • D. teaProductionRegion
    Indicates the region or area where tea is produced or cultivated.
  • E. teaCategory
    Indicates that one item is classified as belonging to a particular category or type of tea.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd4e4ac8190a37061b4082caa48 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a7bd56c8190a6c43df26db880f4 completed April 5, 2026, 5:23 p.m.
PD Predicate disambiguation batch_69cd4b92573481909389bc6148ae7ea8 completed April 1, 2026, 4:45 p.m.
PDg Predicate description generation batch_69cd4f8d9b888190b8067bd916dae773 completed April 1, 2026, 5:02 p.m.
Created at: March 30, 2026, 8:58 p.m.