Triple

T2888
Position Surface form Disambiguated ID Type / Status
Subject Greater Boston E54 entity
Predicate containsCity P294 FINISHED
Object Watertown E17052 NE FINISHED

How this triple was built (2 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: Watertown | Statement: [Greater Boston, containsCity, Watertown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Watertown
Context triple: [Greater Boston, containsCity, Watertown]
  • A. Watertown, Massachusetts chosen
    Watertown, Massachusetts is a historic suburban city just west of Boston, known for its early industrial development and significant Armenian-American community.
  • B. Burlington
    Burlington is a suburban town in Massachusetts known for its proximity to Boston and its mix of residential neighborhoods, office parks, and retail centers.
  • C. Quincy
    Quincy is a coastal city in eastern Massachusetts known as the "City of Presidents" for being the birthplace of U.S. presidents John Adams and John Quincy Adams.
  • D. Belmont
    Belmont is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • E. Springfield, Massachusetts
    Springfield, Massachusetts is a historic city in western Massachusetts known as the birthplace of basketball and a former industrial and transportation hub along the Connecticut River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a3836ba7b88190bfa6bab252695781 completed March 1, 2026, 12:08 a.m.
Created at: Feb. 28, 2026, 12:13 a.m.