Triple

T19608321
Position Surface form Disambiguated ID Type / Status
Subject Kangra tea E470663 entity
Predicate notableTasteNote P100082 FINISHED
Object floral LITERAL 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: floral | Statement: [Kangra tea, notableTasteNote, floral]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableTasteNote
Context triple: [Kangra tea, notableTasteNote, floral]
  • A. wineCharacteristic
    Indicates a descriptive property or quality attributed to a wine, such as its flavor, aroma, color, or style.
  • B. leafTaste chosen
    Indicates that one entity has a particular taste or flavor associated with its leaves.
  • C. coffeeFlavorNotes
    Indicates the characteristic taste and aroma qualities associated with a particular coffee, such as specific flavor notes perceived when it is consumed.
  • D. allowsTastingOf
    Indicates that one entity permits another entity to sample or try the taste of something.
  • E. hasTasteIntensity
    Indicates the degree or strength of taste associated with something.
  • F. None of above.

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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640c964fc8190bd1cb60f4b233eaa completed April 20, 2026, 3:05 p.m.
PD Predicate disambiguation batch_69e514e166dc8190a0f147e0b4c8bbe7 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:43 p.m.