Triple

T4837701
Position Surface form Disambiguated ID Type / Status
Subject Akhmim E108101 entity
Predicate hasHistoricalName P2834 FINISHED
Object Chemmis
Chemmis is the ancient Greek name for the Egyptian city of Akhmim, a historically significant settlement in Upper Egypt known for its temples and religious heritage.
 E475404 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: Chemmis | Statement: [Akhmim, hasHistoricalName, Chemmis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chemmis
Context triple: [Akhmim, hasHistoricalName, Chemmis]
  • A. Chamical
    Chamical is a small city in central La Rioja Province, Argentina, known historically as a regional railway and agricultural center.
  • B. Challex
    Challex is a small commune in eastern France’s Ain department, near the Swiss border in the Auvergne-Rhône-Alpes region.
  • C. Chéserex
    Chéserex is a small Swiss municipality in the canton of Vaud, situated near the Jura Mountains above Lake Geneva.
  • D. The Chemist
    The Chemist is a thriller novel by Stephenie Meyer that follows a former government interrogator on the run who is forced to use her lethal skills to survive.
  • E. Cremera
    Cremera is a small river in central Italy historically known as the site of battles between the ancient Etruscan city of Veii and early Rome.
  • 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: Chemmis
Triple: [Akhmim, hasHistoricalName, Chemmis]
Generated description
Chemmis is the ancient Greek name for the Egyptian city of Akhmim, a historically significant settlement in Upper Egypt known for its temples and religious heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chemmis
Target entity description: Chemmis is the ancient Greek name for the Egyptian city of Akhmim, a historically significant settlement in Upper Egypt known for its temples and religious heritage.
  • A. Chamical
    Chamical is a small city in central La Rioja Province, Argentina, known historically as a regional railway and agricultural center.
  • B. Challex
    Challex is a small commune in eastern France’s Ain department, near the Swiss border in the Auvergne-Rhône-Alpes region.
  • C. Chéserex
    Chéserex is a small Swiss municipality in the canton of Vaud, situated near the Jura Mountains above Lake Geneva.
  • D. The Chemist
    The Chemist is a thriller novel by Stephenie Meyer that follows a former government interrogator on the run who is forced to use her lethal skills to survive.
  • E. Cremera
    Cremera is a small river in central Italy historically known as the site of battles between the ancient Etruscan city of Veii and early Rome.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ce2e810819089f9a3f2a7574d44 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cc054ac819099d6d3dbf415e710 completed March 21, 2026, 8:54 a.m.
NEDg Description generation batch_69be60d4fa0c8190b6d197eb3dbafff7 completed March 21, 2026, 9:11 a.m.
NED2 Entity disambiguation (via description) batch_69be61789d388190bc23d7f44cee2e5d completed March 21, 2026, 9:14 a.m.
Created at: March 20, 2026, 1:25 p.m.