Triple

T2398018
Position Surface form Disambiguated ID Type / Status
Subject Kodashim E47695 entity
Predicate containsTractate P37921 FINISHED
Object Arakhin
Arakhin is a tractate of the Mishnah and Talmud that deals primarily with the laws of vows of valuation and consecration to the Temple.
 E264452 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: Arakhin | Statement: [Kodashim, containsTractate, Arakhin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arakhin
Context triple: [Kodashim, containsTractate, Arakhin]
  • A. Khoni
    Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
  • B. Sharazan
    "Sharazan" is a popular Italian pop song performed by the duo Al Bano and Romina Power, known for its melodic style and romantic themes.
  • C. Akrosh
    Akrosh is an Indian film best known as a hard-hitting social drama written by acclaimed playwright and screenwriter Vijay Tendulkar.
  • D. Ashkun
    Ashkun is a Nuristani language spoken by the Ashkun people in parts of eastern Afghanistan.
  • E. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • 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: Arakhin
Triple: [Kodashim, containsTractate, Arakhin]
Generated description
Arakhin is a tractate of the Mishnah and Talmud that deals primarily with the laws of vows of valuation and consecration to the Temple.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arakhin
Target entity description: Arakhin is a tractate of the Mishnah and Talmud that deals primarily with the laws of vows of valuation and consecration to the Temple.
  • A. Khoni
    Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
  • B. Sharazan
    "Sharazan" is a popular Italian pop song performed by the duo Al Bano and Romina Power, known for its melodic style and romantic themes.
  • C. Akrosh
    Akrosh is an Indian film best known as a hard-hitting social drama written by acclaimed playwright and screenwriter Vijay Tendulkar.
  • D. Ashkun
    Ashkun is a Nuristani language spoken by the Ashkun people in parts of eastern Afghanistan.
  • E. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abd0d942048190bc5c715faa850632 completed March 7, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf3d44b48190aa405ee612cdf57c completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec28e0e38819085027240e2b3eb1b completed March 9, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69aec34a9a0481908c1033cb7d4b1516 completed March 9, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:57 p.m.