Triple

T12641251
Position Surface form Disambiguated ID Type / Status
Subject Tanis E301902 entity
Predicate ancientName P2834 FINISHED
Object Djanet
Djanet is an oasis town in southeastern Algeria, known for its prehistoric rock art, dramatic Sahara landscapes, and role as a gateway to the Tassili n'Ajjer plateau.
 E996311 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: Djanet | Statement: [Tanis, ancientName, Djanet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Djanet
Context triple: [Tanis, ancientName, Djanet]
  • A. Janet
    Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
  • B. Jana
    Jana is a feminine given name commonly used in various European countries, often as a form of Johanna or Jane.
  • C. Janette
    Janette is a feminine given name of English origin, often considered a diminutive or variant of Janet or Jane.
  • D. Jeni
    Jeni is a common shortened form or nickname for the given name Jennifer.
  • E. Janeane
    Janeane is a female given name most notably associated with American comedian and actress Janeane Garofalo.
  • 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: Djanet
Triple: [Tanis, ancientName, Djanet]
Generated description
Djanet is an oasis town in southeastern Algeria, known for its prehistoric rock art, dramatic Sahara landscapes, and role as a gateway to the Tassili n'Ajjer plateau.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Djanet
Target entity description: Djanet is an oasis town in southeastern Algeria, known for its prehistoric rock art, dramatic Sahara landscapes, and role as a gateway to the Tassili n'Ajjer plateau.
  • A. Janet
    Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
  • B. Jana
    Jana is a feminine given name commonly used in various European countries, often as a form of Johanna or Jane.
  • C. Janette
    Janette is a feminine given name of English origin, often considered a diminutive or variant of Janet or Jane.
  • D. Jeni
    Jeni is a common shortened form or nickname for the given name Jennifer.
  • E. Janeane
    Janeane is a female given name most notably associated with American comedian and actress Janeane Garofalo.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614ae6ac8190b42acbf2b0331fda completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6687770388190b4777885dae8a38f completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f669f69fe4819097dfc63780e8587e completed May 2, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_69f66b619c88819098acbfb60fac9921 completed May 2, 2026, 9:23 p.m.
Created at: April 9, 2026, 5:17 p.m.