Triple

T5874430
Position Surface form Disambiguated ID Type / Status
Subject Commentary on the Mishnah E130592 entity
Predicate covers P1393 FINISHED
Object Nezikin
Nezikin is the order of the Mishnah that deals primarily with civil and criminal law, including damages, property, and judicial procedures in Jewish law.
 E553441 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: Nezikin | Statement: [Commentary on the Mishnah, covers, Nezikin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nezikin
Context triple: [Commentary on the Mishnah, covers, Nezikin]
  • A. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • B. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • C. Kankia
    Kankia is a town and local government area in northern Nigeria, known for its role as an administrative and commercial center within Katsina State.
  • D. Obanliku
    Obanliku is a local government area in southeastern Nigeria known for its scenic highland landscapes and cool climate within Cross River State.
  • E. Habikino
    Habikino is a city in Osaka Prefecture, Japan, known for its historic kofun burial mounds and role within the Osaka metropolitan area.
  • 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: Nezikin
Triple: [Commentary on the Mishnah, covers, Nezikin]
Generated description
Nezikin is the order of the Mishnah that deals primarily with civil and criminal law, including damages, property, and judicial procedures in Jewish law.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nezikin
Target entity description: Nezikin is the order of the Mishnah that deals primarily with civil and criminal law, including damages, property, and judicial procedures in Jewish law.
  • A. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • B. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • C. Kankia
    Kankia is a town and local government area in northern Nigeria, known for its role as an administrative and commercial center within Katsina State.
  • D. Obanliku
    Obanliku is a local government area in southeastern Nigeria known for its scenic highland landscapes and cool climate within Cross River State.
  • E. Habikino
    Habikino is a city in Osaka Prefecture, Japan, known for its historic kofun burial mounds and role within the Osaka metropolitan area.
  • 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035fafb54819085378e7c8d137402 completed March 22, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b11b48d88190ba6cd5ade2f47a89 completed March 23, 2026, 3:18 a.m.
NEDg Description generation batch_69c0b1cc670081908c07c9f7c90afc2f completed March 23, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_69c0b24d7d148190901e233d815d21ad completed March 23, 2026, 3:23 a.m.
Created at: March 22, 2026, 3:57 p.m.