Triple

T17446745
Position Surface form Disambiguated ID Type / Status
Subject Antereen village E424805 entity
Predicate hasName P744 FINISHED
Object Antereen
Antereen is a small village, likely a rural settlement with a close-knit community and local agricultural or traditional livelihoods.
 E1269266 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: Antereen | Statement: [Antereen village, hasName, Antereen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Antereen
Context triple: [Antereen village, hasName, Antereen]
  • A. Arnissa
    Arnissa is a small town in northern Greece situated close to Lake Vegoritida, known for its scenic lakeside setting and surrounding natural landscape.
  • B. Kaela
    Kaela is the given name of American professional basketball player Kaela Davis.
  • C. Xandra
    Xandra is a shortened, informal given name derived from Alexandra, often used as a modern, distinctive feminine name.
  • D. Ariela
    Ariela is a feminine given name, often considered a variant of Ariel, used in various cultures and languages.
  • E. Alithea
    Alithea is a virtuous and intelligent gentlewoman in William Wycherley’s Restoration comedy "The Country Wife," whose moral integrity contrasts with the play’s surrounding hypocrisy and sexual intrigue.
  • 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: Antereen
Triple: [Antereen village, hasName, Antereen]
Generated description
Antereen is a small village, likely a rural settlement with a close-knit community and local agricultural or traditional livelihoods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Antereen
Target entity description: Antereen is a small village, likely a rural settlement with a close-knit community and local agricultural or traditional livelihoods.
  • A. Arnissa
    Arnissa is a small town in northern Greece situated close to Lake Vegoritida, known for its scenic lakeside setting and surrounding natural landscape.
  • B. Kaela
    Kaela is the given name of American professional basketball player Kaela Davis.
  • C. Xandra
    Xandra is a shortened, informal given name derived from Alexandra, often used as a modern, distinctive feminine name.
  • D. Ariela
    Ariela is a feminine given name, often considered a variant of Ariel, used in various cultures and languages.
  • E. Alithea
    Alithea is a virtuous and intelligent gentlewoman in William Wycherley’s Restoration comedy "The Country Wife," whose moral integrity contrasts with the play’s surrounding hypocrisy and sexual intrigue.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ffc89e4819096372cc55b40cc3b completed April 19, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01affab32081908d97960513a6e8e4 completed May 11, 2026, 10:31 a.m.
NEDg Description generation batch_6a01b164864481909673d9351bb7f817 completed May 11, 2026, 10:37 a.m.
NED2 Entity disambiguation (via description) batch_6a01b251040c8190a1d030cb55e4f052 completed May 11, 2026, 10:41 a.m.
Created at: April 10, 2026, 5:47 a.m.