Triple

T4224354
Position Surface form Disambiguated ID Type / Status
Subject Lawrence, Massachusetts E94417 entity
Predicate hasLandmark P105 FINISHED
Object Campagnone Common E34307 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: Campagnone Common | Statement: [Lawrence, Massachusetts, hasLandmark, Campagnone Common]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campagnone Common
Context triple: [Lawrence, Massachusetts, hasLandmark, Campagnone Common]
  • A. Campagnone Common chosen
    Campagnone Common is a central public park and historic green space in Lawrence, Massachusetts, often used for community events and recreation.
  • B. Priola
    Priola is a small locality in northeastern Italy situated close to the famous Monte Zoncolan in the Carnic Alps.
  • C. Cottanello
    Cottanello is a small historic municipality in the Lazio region of central Italy, known for its rural landscape and traditional architecture.
  • D. Bruschi
    Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
  • E. Primaticcio
    Primaticcio was a prominent Italian Mannerist painter, sculptor, and architect active at the French court, known for helping shape the distinctive style of the School of Fontainebleau.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e4bf6088190926b982039a12079 completed March 12, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5964532e08190bb1dc56f734e6ebb completed March 14, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:04 p.m.