Triple

T6929236
Position Surface form Disambiguated ID Type / Status
Subject Nipmuc language E160390 entity
Predicate hasAlternateName P39 FINISHED
Object Nipmuck E30662 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: Nipmuck | Statement: [Nipmuc language, hasAlternateName, Nipmuck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nipmuck
Context triple: [Nipmuc language, hasAlternateName, Nipmuck]
  • A. Nipmuc chosen
    The Nipmuc are an Indigenous people of southern New England, historically inhabiting parts of what are now Massachusetts, Connecticut, and Rhode Island.
  • B. Pocasset
    Pocasset is a coastal village on Cape Cod in Massachusetts known for its beaches, marinas, and residential seaside character.
  • C. Canonicus
    Canonicus was a prominent Narragansett sachem in early 17th-century New England, known for his influential role in diplomacy and conflict with the English colonists of Plymouth Colony.
  • D. Hobomok
    Hobomok is an 1824 historical novel by Lydia Maria Child that explores early New England colonial life and interracial marriage between a Native American man and a white woman.
  • E. Mattituck
    Mattituck is a small hamlet and wine-country community on the North Fork of Long Island in Suffolk County, New York.
  • 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_69c6884e15208190b9e91487eaafcf85 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da1f5fcc8190b43f53f90fc1821c completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7514774d88190af212d7953014703 completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:27 p.m.