Triple

T9045314
Position Surface form Disambiguated ID Type / Status
Subject Georgian supra E216740 entity
Predicate typicalFood P1016 FINISHED
Object pkhali E12856 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: pkhali | Statement: [Georgian supra, typicalFood, pkhali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: pkhali
Context triple: [Georgian supra, typicalFood, pkhali]
  • A. Pkhali chosen
    Pkhali is a traditional Georgian dish of finely chopped vegetables or greens mixed with ground walnuts, garlic, herbs, and spices, often served as a cold appetizer.
  • B. Pakir
    Pakir is a given name most notably associated with Avul Pakir Jainulabdeen Abdul Kalam, the former President of India and renowned aerospace scientist.
  • C. Khanakul
    Khanakul is a town in the Hooghly district of West Bengal, India, known for its rural setting and local agricultural economy.
  • D. Bikhauti
    Bikhauti is a traditional regional festival celebrated in the Garhwal area of Uttarakhand, India, marked by local religious rituals and community gatherings.
  • E. Pakhto
    Pakhto is an alternative name for Pashto, an Eastern Iranian language spoken primarily in Afghanistan and Pakistan.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b148b188190814d64acae493634 completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebada5948190add8813ba547647f completed April 3, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:09 p.m.