Triple

T2850907
Position Surface form Disambiguated ID Type / Status
Subject Bethel, Connecticut E63088 entity
Predicate hasElementarySchool P113 FINISHED
Object Berry School
Berry School is a public elementary school serving young students in the town of Bethel, Connecticut.
E303110 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: Berry School | Statement: [Bethel, Connecticut, hasElementarySchool, Berry School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berry School
Context triple: [Bethel, Connecticut, hasElementarySchool, Berry School]
  • A. South School
    South School is a public elementary school serving early-grade students in the New Canaan, Connecticut community.
  • B. East School
    East School is a public elementary school serving young students in the New Canaan, Connecticut community.
  • C. Union School
    Union School is a public elementary school serving students in the town of Farmington, Connecticut.
  • D. West School
    West School is a public elementary school serving students in the New Canaan, Connecticut community.
  • E. John Mason School
    John Mason School is a secondary school located in the town of Abingdon in Oxfordshire, England.
  • 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: Berry School
Triple: [Bethel, Connecticut, hasElementarySchool, Berry School]
Generated description
Berry School is a public elementary school serving young students in the town of Bethel, Connecticut.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Berry School
Target entity description: Berry School is a public elementary school serving young students in the town of Bethel, Connecticut.
  • A. South School
    South School is a public elementary school serving early-grade students in the New Canaan, Connecticut community.
  • B. East School
    East School is a public elementary school serving young students in the New Canaan, Connecticut community.
  • C. Union School
    Union School is a public elementary school serving students in the town of Farmington, Connecticut.
  • D. West School
    West School is a public elementary school serving students in the New Canaan, Connecticut community.
  • E. John Mason School
    John Mason School is a secondary school located in the town of Abingdon in Oxfordshire, England.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf437328819098506ec8a3a23e11 completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8e23694819089b38a10e1bc2f03 completed March 10, 2026, 9:48 a.m.
NEDg Description generation batch_69afea2358b88190a91ef389f5a98cea completed March 10, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69b0035854e88190a8750b3291aa41c4 completed March 10, 2026, 11:41 a.m.
Created at: March 6, 2026, 10:02 p.m.