Triple

T1283992
Position Surface form Disambiguated ID Type / Status
Subject Ta-Mehu E27390 entity
Predicate contrastedWith P278 FINISHED
Object Ta-Shema
Ta-Shema was the ancient Egyptian term for Upper Egypt, the southern region of the Nile Valley that formed one of the two core lands of the Egyptian kingdom.
 E146903 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: Ta-Shema | Statement: [Ta-Mehu, contrastedWith, Ta-Shema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ta-Shema
Context triple: [Ta-Mehu, contrastedWith, Ta-Shema]
  • A. Ta-Mehu
    Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
  • B. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • C. Shosha
    Shosha is a novel by Nobel Prize–winning author Isaac Bashevis Singer that portrays a doomed love story set against the backdrop of pre–World War II Jewish Warsaw.
  • D. Tora
    Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
  • E. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • 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: Ta-Shema
Triple: [Ta-Mehu, contrastedWith, Ta-Shema]
Generated description
Ta-Shema was the ancient Egyptian term for Upper Egypt, the southern region of the Nile Valley that formed one of the two core lands of the Egyptian kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ta-Shema
Target entity description: Ta-Shema was the ancient Egyptian term for Upper Egypt, the southern region of the Nile Valley that formed one of the two core lands of the Egyptian kingdom.
  • A. Ta-Mehu
    Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
  • B. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • C. Shosha
    Shosha is a novel by Nobel Prize–winning author Isaac Bashevis Singer that portrays a doomed love story set against the backdrop of pre–World War II Jewish Warsaw.
  • D. Tora
    Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
  • E. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b599ac819096fca9ada294d939 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2fdb3ac81909bc836e2a655130c completed March 7, 2026, 10:13 p.m.
NEDg Description generation batch_69aca76c18d081908154d2a04c7a3328 completed March 7, 2026, 10:32 p.m.
NED2 Entity disambiguation (via description) batch_69aca7d3c740819084c87134e5818455 completed March 7, 2026, 10:33 p.m.
Created at: March 1, 2026, 7:50 p.m.