Triple

T30502322
Position Surface form Disambiguated ID Type / Status
Subject Church of the Covenant, Boston, Massachusetts E776168 entity
Predicate cornerWith P26784 FINISHED
Object Berkeley Street
Berkeley Street is a major thoroughfare in Boston’s Back Bay neighborhood, known for its historic architecture and prominent intersections with notable landmarks.
 E2288459 NE FINISHED

How this triple was built (3 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: Berkeley Street | Statement: [Church of the Covenant, Boston, Massachusetts, cornerWith, Berkeley Street]
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: Berkeley Street
Triple: [Church of the Covenant, Boston, Massachusetts, cornerWith, Berkeley Street]
Generated description
Berkeley Street is a major thoroughfare in Boston’s Back Bay neighborhood, known for its historic architecture and prominent intersections with notable landmarks.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: cornerWith
Context triple: [Church of the Covenant, Boston, Massachusetts, cornerWith, Berkeley Street]
  • A. cornerOfTriangle
    Indicates that the subject is a vertex (corner point) belonging to a specific triangle.
  • B. hasCorner
    Indicates that one entity possesses or includes a corner that is part of or associated with another entity.
  • C. locatedAtCornerOf chosen
    Indicates that one entity is positioned at or forms the corner where two or more boundaries, edges, or intersecting paths meet.
  • D. cornerRepresents
    Indicates that a particular corner in a structure, diagram, or space stands for or symbolizes another element, concept, or feature.
  • E. cornerComplexType
    Indicates a relationship where something is positioned, formed, or structured at or around a corner in a complex or composite manner.
  • F. None of above.

Provenance (6 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_69f22498c5d481908aaea89e6fab8280 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f687812a6481908b126c0aacd38936 completed May 2, 2026, 11:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5a90ed96008190a1340c1a9e7ada29 completed July 17, 2026, 8:30 p.m.
NEDg Description generation batch_6a5a917be17c81908fd8bc4b1b142154 completed July 17, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_6a5a91cd91e08190a7eca06b5229e183 completed July 17, 2026, 8:34 p.m.
PD Predicate disambiguation batch_69f67e42d6688190b60e91d2c388c555 completed May 2, 2026, 10:44 p.m.
Created at: April 29, 2026, 8:15 p.m.