Triple

T1337542
Position Surface form Disambiguated ID Type / Status
Subject Concord River E28787 entity
Predicate near P350 FINISHED
Object Concord town center E129086 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: Concord town center | Statement: [Concord River, near, Concord town center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concord town center
Context triple: [Concord River, near, Concord town center]
  • A. Concord town center chosen
    Concord town center is the historic and commercial heart of Concord, Massachusetts, known for its colonial architecture, literary heritage, and proximity to key American Revolutionary War sites.
  • B. Quincy Center
    Quincy Center is a major transit station and commercial hub in Quincy, Massachusetts, providing access to subway and bus services within the Greater Boston area.
  • C. West Concord
    West Concord is a village and commuter rail stop in Concord, Massachusetts, serving as a suburban residential and transit hub west of Boston.
  • D. Salem Center
    Salem Center is a small hamlet within the Town of Southeast in Putnam County, New York.
  • E. Watertown Square
    Watertown Square is a major transit and commercial hub in Watertown, Massachusetts, functioning as a key connection point for multiple MBTA bus routes and local activity.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1edda1c81909a1149b254b0d57e completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc62e4c788190824df2a9b81692d7 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:55 p.m.