Triple

T3069569
Position Surface form Disambiguated ID Type / Status
Subject Mashamoquet State Park E62187 entity
Predicate hasHistoricSite P1098 FINISHED
Object Wolf Den E324075 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: Wolf Den | Statement: [Mashamoquet State Park, hasHistoricSite, Wolf Den]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolf Den
Context triple: [Mashamoquet State Park, hasHistoricSite, Wolf Den]
  • A. Wolf Den chosen
    Wolf Den is a notable rocky cave and historic landmark within Mashamoquet State Park in Connecticut, traditionally associated with early colonial wolf-hunting legends.
  • B. Wolf
    Wolf is a 2013 studio album by American rapper and producer Tyler, the Creator, known for its eclectic production and introspective, narrative-driven lyrics.
  • C. Wolf
    Wolf is a common German surname borne by numerous notable individuals across fields such as scholarship, politics, and the arts.
  • D. Wolf
    Wolf is a song by American singer Miguel from his album "War & Leisure."
  • E. Wolf Cay
    Wolf Cay is a small Caribbean island whose name translates from Spanish as "Cayo Lobo," reflecting its association with wolves or wolf-like characteristics.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada100f0b8819095da366fdc6803a8 completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20354031c819081a0852fe7e181ab completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:02 p.m.