Triple

T2883
Position Surface form Disambiguated ID Type / Status
Subject Greater Boston E54 entity
Predicate containsCity P294 FINISHED
Object Chelsea
Chelsea is a small, densely populated city in Massachusetts located just across the Mystic River from downtown Boston.
E201 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: Chelsea | Statement: [Greater Boston, containsCity, Chelsea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelsea
Context triple: [Greater Boston, containsCity, Chelsea]
  • A. University of Manchester
    The University of Manchester is a major public research university in Manchester, England, renowned for its contributions to science, engineering, and innovation.
  • B. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • C. Veritas
    Veritas is the Latin word for "truth" and is famously used as the motto of Harvard University.
  • D. John Harvard
    John Harvard was a 17th-century English clergyman and benefactor whose substantial bequest helped establish the institution that became Harvard University.
  • E. Tim the Beaver
    Tim the Beaver is the official mascot of the Massachusetts Institute of Technology, symbolizing the school’s emphasis on engineering, ingenuity, and industriousness.
  • 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: Chelsea
Triple: [Greater Boston, containsCity, Chelsea]
Generated description
Chelsea is a small, densely populated city in Massachusetts located just across the Mystic River from downtown Boston.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chelsea
Target entity description: Chelsea is a small, densely populated city in Massachusetts located just across the Mystic River from downtown Boston.
  • A. University of Manchester
    The University of Manchester is a major public research university in Manchester, England, renowned for its contributions to science, engineering, and innovation.
  • B. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • C. Veritas
    Veritas is the Latin word for "truth" and is famously used as the motto of Harvard University.
  • D. John Harvard
    John Harvard was a 17th-century English clergyman and benefactor whose substantial bequest helped establish the institution that became Harvard University.
  • E. Tim the Beaver
    Tim the Beaver is the official mascot of the Massachusetts Institute of Technology, symbolizing the school’s emphasis on engineering, ingenuity, and industriousness.
  • 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_69a2328f0e848190ac2840eaf2d5ebd2 completed Feb. 28, 2026, 12:10 a.m.
NER Named-entity recognition batch_69a234ccbac88190921bd0a15e4a7dbe completed Feb. 28, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69a238e23e0881909815d2dad067d7a1 completed Feb. 28, 2026, 12:37 a.m.
NEDg Description generation batch_69a23ab3a1f481908407d4648bbf3f86 completed Feb. 28, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69a23b736e388190956fa92a68d25866 completed Feb. 28, 2026, 12:48 a.m.
Created at: Feb. 28, 2026, 12:13 a.m.