Triple

T7831830
Position Surface form Disambiguated ID Type / Status
Subject Kenwood E181587 entity
Predicate hasMunicipality P847 FINISHED
Object Dracut E34304 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: Dracut | Statement: [Kenwood, hasMunicipality, Dracut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dracut
Context triple: [Kenwood, hasMunicipality, Dracut]
  • A. Dracut chosen
    Dracut is a town in northeastern Massachusetts, United States, known for its suburban character and proximity to the city of Lowell.
  • B. Dracut Center
    Dracut Center is the historic town center and civic hub of Dracut, Massachusetts, featuring key municipal buildings and traditional New England village character.
  • C. Trisquel
    Trisquel is a fully free, community-driven GNU/Linux distribution based on Ubuntu, endorsed by the Free Software Foundation for its commitment to software freedom.
  • D. Perseus Distribution
    Perseus Distribution is a book distribution company that provides sales, marketing, and logistical services to independent publishers and imprints.
  • E. Devuan
    Devuan is a Linux distribution that originated as a fork of Debian, created to provide a systemd-free operating system with a focus on init system choice and traditional Unix principles.
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb0647848081908d74e09f52d0919e completed March 30, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a906b908190a204779950555edc completed March 31, 2026, 5:24 a.m.
Created at: March 30, 2026, 4:44 p.m.