Triple

T4678773
Position Surface form Disambiguated ID Type / Status
Subject Ashkenazi Jews E103745 entity
Predicate cuisineItem P17589 FINISHED
Object Latkes
Latkes are traditional Ashkenazi Jewish potato pancakes, typically fried in oil and eaten especially during Hanukkah.
E462044 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: Latkes | Statement: [Ashkenazi Jews, cuisineItem, Latkes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latkes
Context triple: [Ashkenazi Jews, cuisineItem, Latkes]
  • A. Salo
    Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
  • B. Karelian pies
    Karelian pies are traditional Finnish pastries from the Karelia region, typically consisting of a thin rye crust filled with rice porridge and often served with egg butter.
  • C. Hanukkah gelt
    Hanukkah gelt are coins—originally real money and now often chocolate—given to children during the Jewish festival of Hanukkah as part of its celebratory customs.
  • D. Flammekuchen
    Flammekuchen is a traditional Alsatian flatbread-style dish topped typically with crème fraîche, onions, and bacon, similar to a very thin pizza.
  • E. Wiener Schnitzel
    Wiener Schnitzel is a traditional Austrian dish consisting of a thin, breaded and fried veal cutlet, closely associated with Viennese cuisine.
  • 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: Latkes
Triple: [Ashkenazi Jews, cuisineItem, Latkes]
Generated description
Latkes are traditional Ashkenazi Jewish potato pancakes, typically fried in oil and eaten especially during Hanukkah.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Latkes
Target entity description: Latkes are traditional Ashkenazi Jewish potato pancakes, typically fried in oil and eaten especially during Hanukkah.
  • A. Salo
    Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
  • B. Karelian pies
    Karelian pies are traditional Finnish pastries from the Karelia region, typically consisting of a thin rye crust filled with rice porridge and often served with egg butter.
  • C. Hanukkah gelt
    Hanukkah gelt are coins—originally real money and now often chocolate—given to children during the Jewish festival of Hanukkah as part of its celebratory customs.
  • D. Flammekuchen
    Flammekuchen is a traditional Alsatian flatbread-style dish topped typically with crème fraîche, onions, and bacon, similar to a very thin pizza.
  • E. Wiener Schnitzel
    Wiener Schnitzel is a traditional Austrian dish consisting of a thin, breaded and fried veal cutlet, closely associated with Viennese cuisine.
  • 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6c3d1cb88190a42919dcbfe2568c completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03a497ac8190bd278a4bd531aa45 completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be050e0f488190804c512e7cc17c56 completed March 21, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69be05a6bed081909c8d8830fb103610 completed March 21, 2026, 2:42 a.m.
Created at: March 20, 2026, 1:16 p.m.