Triple

T17846624
Position Surface form Disambiguated ID Type / Status
Subject Kfar Saba E445678 entity
Predicate region P40 FINISHED
Object Sharon
Sharon is a fertile coastal plain region in central Israel known for its agriculture and rapidly growing urban communities.
E293269 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: Sharon | Statement: [Kfar Saba, region, Sharon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharon
Context triple: [Kfar Saba, region, Sharon]
  • A. Sharon
    Sharon is a suburban town in Norfolk County, Massachusetts, known for its residential character, natural conservation areas, and proximity to Boston.
  • B. Sharon
    Sharon is the given first name of Christa McAuliffe, the American teacher and astronaut who was selected as the first private citizen in space and died in the 1986 Space Shuttle Challenger disaster.
  • C. Sharon
    Sharon is the given first name of Kristin Harmon, an American actress and painter known for her work in television and her marriage to musician Ricky Nelson.
  • D. Sharon
    Sharon is a small community within the town of East Gwillimbury in Ontario, Canada, known for its residential character and local heritage.
  • E. Sharon
    Sharon is a fictional character from Frederick Buechner’s comic novel sequence *The Book of Bebb*, which follows the eccentric evangelist Leo Bebb and those in his orbit.
  • 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: Sharon
Triple: [Kfar Saba, region, Sharon]
Generated description
Sharon is a fertile coastal plain region in central Israel known for its agriculture and rapidly growing urban communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sharon
Target entity description: Sharon is a fertile coastal plain region in central Israel known for its agriculture and rapidly growing urban communities.
  • A. Sharon
    Sharon is a suburban town in Norfolk County, Massachusetts, known for its residential character, natural conservation areas, and proximity to Boston.
  • B. Sharon chosen
    Sharon is a feminine given name of Hebrew origin meaning "a fertile plain," used in various cultures and languages.
  • C. Sharon
    Sharon is a small community within the town of East Gwillimbury in Ontario, Canada, known for its residential character and local heritage.
  • D. Sharon
    Sharon is a small unincorporated community located in the state of Mississippi in the United States.
  • E. Sharon
    Sharon is the given first name of Christa McAuliffe, the American teacher and astronaut who was selected as the first private citizen in space and died in the 1986 Space Shuttle Challenger disaster.
  • F. None of above.

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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffb35248190a80a428686e06d87 completed April 19, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0307039ae881909222fcc9827735d2 completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a0307db9948819099bdf6f3b36893dd completed May 12, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_6a030862678881908da2ffe271723572 completed May 12, 2026, 11 a.m.
Created at: April 10, 2026, 10:16 a.m.