Triple

T18199226
Position Surface form Disambiguated ID Type / Status
Subject Arsenal Mall E435738 entity
Predicate location P40 FINISHED
Object Watertown, Massachusetts NE NERFINISHED

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, Massachusetts | Statement: [Arsenal Mall, location, Watertown, Massachusetts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Watertown, Massachusetts
Context triple: [Arsenal Mall, location, Watertown, Massachusetts]
  • 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. Watertown
    Watertown is a small city in Wilson County, Tennessee, known for its historic downtown and role as a regional community hub.
  • C. Watertown
    Watertown is a small American city governed under a council–manager system, with a professional city manager overseeing its municipal operations.
  • D. Watertown
    Watertown is a principal city in northeastern South Dakota known as a regional commercial center and home to Lake Kampeska and the Redlin Art Center.
  • E. Hudson, Massachusetts
    Hudson, Massachusetts is a small New England town known for its historic downtown, revitalized mill buildings, and location along the Assabet River in central Massachusetts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d545f4819090285d1446bd3c27 completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.