Triple

T15640723
Position Surface form Disambiguated ID Type / Status
Subject Yad Mordechai E376056 entity
Predicate nearbySettlement P350 FINISHED
Object Zikim
Zikim is a kibbutz in southern Israel near the Gaza Strip, known for its agriculture, beach, and proximity to the border.
 E1168514 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: Zikim | Statement: [Yad Mordechai, nearbySettlement, Zikim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zikim
Context triple: [Yad Mordechai, nearbySettlement, Zikim]
  • A. 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.
  • B. Keilim
    Keilim is a tractate of the Mishnah in Seder Tohorot that systematically details the laws of ritual purity and impurity as they apply to various types of vessels and utensils.
  • C. Baraka
    Baraka is a lakeside city in the eastern Democratic Republic of the Congo, situated on the shores of Lake Tanganyika in the province of South Kivu.
  • D. Zueitina
    Zueitina is a Libyan coastal town known primarily for its strategic oil terminal and role in the country’s petroleum export infrastructure.
  • E. Asalem
    Asalem is a small town in Iran’s Gilan Province, known for its lush forests and mountainous landscapes along the Caspian Sea region.
  • 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: Zikim
Triple: [Yad Mordechai, nearbySettlement, Zikim]
Generated description
Zikim is a kibbutz in southern Israel near the Gaza Strip, known for its agriculture, beach, and proximity to the border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zikim
Target entity description: Zikim is a kibbutz in southern Israel near the Gaza Strip, known for its agriculture, beach, and proximity to the border.
  • A. 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.
  • B. Keilim
    Keilim is a tractate of the Mishnah in Seder Tohorot that systematically details the laws of ritual purity and impurity as they apply to various types of vessels and utensils.
  • C. Baraka
    Baraka is a lakeside city in the eastern Democratic Republic of the Congo, situated on the shores of Lake Tanganyika in the province of South Kivu.
  • D. Zueitina
    Zueitina is a Libyan coastal town known primarily for its strategic oil terminal and role in the country’s petroleum export infrastructure.
  • E. Asalem
    Asalem is a small town in Iran’s Gilan Province, known for its lush forests and mountainous landscapes along the Caspian Sea region.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed06b388190bfebb77fe70e7df1 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f4b693c81908fd324a5e92fc23c completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff612f54a48190a392a3712db4c907 completed May 9, 2026, 4:30 p.m.
NED2 Entity disambiguation (via description) batch_69ff61fbcad481908af89369458b23ca completed May 9, 2026, 4:34 p.m.
Created at: April 10, 2026, 4:15 a.m.