Triple

T7014752
Position Surface form Disambiguated ID Type / Status
Subject Darjeeling E162673 entity
Predicate knownFor P22 FINISHED
Object Darjeeling tea E541007 NE FINISHED

How this triple was built (2 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: Darjeeling tea | Statement: [Darjeeling, knownFor, Darjeeling tea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darjeeling tea
Context triple: [Darjeeling, knownFor, Darjeeling tea]
  • A. Darjeeling tea chosen
    Darjeeling tea is a highly prized, aromatic black tea from the Himalayan foothills, celebrated for its delicate flavor, floral notes, and status as the “champagne of teas.”
  • B. Kangra tea
    Kangra tea is a distinctive variety of Indian tea from the Himalayan region of Himachal Pradesh, prized for its delicate flavor and aromatic quality.
  • C. Keemun black tea
    Keemun black tea is a renowned Chinese black tea variety prized for its rich, mellow flavor and aromatic, winey notes.
  • 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. Darjeeling tea GI
    Darjeeling tea GI is the protected geographical indication status that legally recognizes and safeguards authentic Darjeeling tea produced exclusively in the Darjeeling region of West Bengal, India.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1d31edc8190931655616d0739d1 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a53e96081909dfe21a80b20f80d completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:34 p.m.