Triple

T4973547
Position Surface form Disambiguated ID Type / Status
Subject Shattuck Hospital grounds E111709 entity
Predicate hasAccessFrom P1985 FINISHED
Object Morton Street E763795 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: Morton Street | Statement: [Shattuck Hospital grounds, hasAccessFrom, Morton Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morton Street
Context triple: [Shattuck Hospital grounds, hasAccessFrom, Morton Street]
  • A. Morton Street chosen
    Morton Street is a roadway in Boston, Massachusetts, that serves as a key connector between several major urban thoroughfares and neighborhoods.
  • B. Laurel Street
    Laurel Street is a primary commercial and thoroughfare corridor running through the Laurel Heights neighborhood.
  • C. Butler Street
    Butler Street is a roadway located near Butler station, likely serving as one of the main access routes to the station and surrounding area.
  • D. Dearing Street
    Dearing Street is a street in Athens, Georgia, best known for running alongside the historic “Tree That Owns Itself,” a famous local landmark.
  • E. Harrison Street
    Harrison Street is a major thoroughfare in Oakland, California, running through areas including the historic Chinatown neighborhood.
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd72162d9c81908f05ee1eea013747 completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d4d14df7888190aadd3f506b6b4cd2 completed April 7, 2026, 9:41 a.m.
Created at: March 20, 2026, 1:33 p.m.