Triple

T7151631
Position Surface form Disambiguated ID Type / Status
Subject Tripolis E166703 entity
Predicate relatedTerm P37 FINISHED
Object Tetrapolis
Tetrapolis is an ancient Greek term referring to a group of four closely associated cities or towns that formed a political or religious union.
 E646036 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: Tetrapolis | Statement: [Tripolis, relatedTerm, Tetrapolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tetrapolis
Context triple: [Tripolis, relatedTerm, Tetrapolis]
  • A. Meridian
    Meridian is a rapidly growing suburban city in southwestern Idaho, known for its family-friendly neighborhoods and proximity to Boise.
  • B. Meridian
    Meridian is a 1976 novel by Alice Walker that explores the civil rights movement through the life of a young Black woman activist in the American South.
  • C. Davidville
    Davidville was the original company founded by David Karp that created and initially operated the microblogging platform Tumblr.
  • D. Limestone City
    Limestone City is a nickname for Kingston, Ontario, reflecting its many historic buildings constructed from local limestone.
  • E. Corydon
    Corydon is a controversial series of dialogues by André Gide that defends homosexuality by arguing for its naturalness and historical prevalence.
  • 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: Tetrapolis
Triple: [Tripolis, relatedTerm, Tetrapolis]
Generated description
Tetrapolis is an ancient Greek term referring to a group of four closely associated cities or towns that formed a political or religious union.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tetrapolis
Target entity description: Tetrapolis is an ancient Greek term referring to a group of four closely associated cities or towns that formed a political or religious union.
  • A. Meridian
    Meridian is a 1976 novel by Alice Walker that explores the civil rights movement through the life of a young Black woman activist in the American South.
  • B. Meridian
    Meridian is a rapidly growing suburban city in southwestern Idaho, known for its family-friendly neighborhoods and proximity to Boise.
  • C. Davidville
    Davidville was the original company founded by David Karp that created and initially operated the microblogging platform Tumblr.
  • D. Limestone City
    Limestone City is a nickname for Kingston, Ontario, reflecting its many historic buildings constructed from local limestone.
  • E. Corydon
    Corydon is a controversial series of dialogues by André Gide that defends homosexuality by arguing for its naturalness and historical prevalence.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7f3e4a88190a3110f2368262528 completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adad45208190a8e09173a4d26591 completed March 28, 2026, 10:30 a.m.
NEDg Description generation batch_69c7aeb1c59c8190b02fcb731003ad31 completed March 28, 2026, 10:34 a.m.
NED2 Entity disambiguation (via description) batch_69c7af2ad8a081909185cfd3a3d4e4d0 completed March 28, 2026, 10:36 a.m.
Created at: March 27, 2026, 2:46 p.m.