Triple

T21011650
Position Surface form Disambiguated ID Type / Status
Subject Uji tea E517563 entity
Predicate mainCultivar P8128 FINISHED
Object Gokou
Gokou is a prized Japanese tea cultivar especially valued in Uji for producing rich, umami-forward shaded green teas like gyokuro and matcha.
 E1462773 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: Gokou | Statement: [Uji tea, mainCultivar, Gokou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gokou
Context triple: [Uji tea, mainCultivar, Gokou]
  • A. Goro
    Goro is a four-armed Shokan prince and powerful sub-boss character from the Mortal Kombat fighting game series.
  • B. Goro
    Goro is a coastal fishing town and municipality in Italy’s Emilia-Romagna region, known for its clam and mussel production along the Po River delta.
  • C. Goro
    Goro is a town located in the Bale Zone of the Oromia Region in southeastern Ethiopia.
  • D. Goro
    Goro is a character in Puccini’s opera "Madama Butterfly," a marriage broker who arranges the ill-fated union between Cio-Cio San and the American naval officer Pinkerton.
  • E. Goro
    Goro is a settlement in the Yaté commune of New Caledonia, known for its proximity to major nickel mining operations and coastal landscapes.
  • 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: Gokou
Triple: [Uji tea, mainCultivar, Gokou]
Generated description
Gokou is a prized Japanese tea cultivar especially valued in Uji for producing rich, umami-forward shaded green teas like gyokuro and matcha.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gokou
Target entity description: Gokou is a prized Japanese tea cultivar especially valued in Uji for producing rich, umami-forward shaded green teas like gyokuro and matcha.
  • A. Goro
    Goro is a four-armed Shokan prince and powerful sub-boss character from the Mortal Kombat fighting game series.
  • B. Goro
    Goro is a town located in the Bale Zone of the Oromia Region in southeastern Ethiopia.
  • C. Goro
    Goro is a coastal fishing town and municipality in Italy’s Emilia-Romagna region, known for its clam and mussel production along the Po River delta.
  • D. Goro
    Goro is a character in Puccini’s opera "Madama Butterfly," a marriage broker who arranges the ill-fated union between Cio-Cio San and the American naval officer Pinkerton.
  • E. Goro
    Goro is a settlement in the Yaté commune of New Caledonia, known for its proximity to major nickel mining operations and coastal landscapes.
  • 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc40f91c81908c9b6d99869de7aa completed April 21, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a093b60b94081909bea5b8b0cf81447 completed May 17, 2026, 3:52 a.m.
NEDg Description generation batch_6a093d500adc8190ba08e8a6c1674563 completed May 17, 2026, 4 a.m.
NED2 Entity disambiguation (via description) batch_6a093e445e748190a20721d0718c71bc completed May 17, 2026, 4:04 a.m.
Created at: April 16, 2026, 1:53 p.m.