Triple

T7267987
Position Surface form Disambiguated ID Type / Status
Subject Vailsburg E161026 entity
Predicate locatedIn P40 FINISHED
Object Essex County E205589 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: Essex County | Statement: [Vailsburg, locatedIn, Essex County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Essex County
Context triple: [Vailsburg, locatedIn, Essex County]
  • A. Essex County
    Essex County is a historic coastal county in northeastern Massachusetts that includes cities such as Lynn, Salem, and Lawrence.
  • B. Essex County
    Essex County is a southwestern Ontario region bordering Lake Erie that includes the southernmost point of mainland Canada and encompasses Point Pelee National Park.
  • C. Essex County chosen
    Essex County is an urban county in northeastern New Jersey known for encompassing the city of Newark and serving as a major residential, commercial, and transportation hub in the New York metropolitan area.
  • D. Suffolk county
    Suffolk county is a historic and largely rural county in East Anglia, England, known for its coastal towns, medieval villages, and agricultural landscapes.
  • E. Sussex County
    Sussex County is a county in the southern part of the U.S. state of Delaware, known for its coastal resorts, agriculture, and historic towns.
  • 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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eae8cc288190bc3ae3c7b38980d0 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e52b8ea0819096c331f78dee5e4b completed March 28, 2026, 2:26 p.m.
Created at: March 27, 2026, 2:58 p.m.