Triple

T11106766
Position Surface form Disambiguated ID Type / Status
Subject Southeastern Pennsylvania E262649 entity
Predicate borders P224 FINISHED
Object Maryland E707 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: Maryland | Statement: [Southeastern Pennsylvania, borders, Maryland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maryland
Context triple: [Southeastern Pennsylvania, borders, Maryland]
  • A. Maryland chosen
    Maryland is a Mid-Atlantic U.S. state known for its Chesapeake Bay shoreline, colonial history, and proximity to the nation’s capital.
  • B. Maryland
    Maryland is a small village in Otsego County, New York, known primarily as a rural residential community in the central part of the state.
  • C. Maryland and Delaware
    Maryland and Delaware are two neighboring Mid-Atlantic U.S. states on the East Coast, known respectively for the Chesapeake Bay and the city of Baltimore, and for its Atlantic beaches and role as the nation’s first state to ratify the Constitution.
  • D. Virginia
    Virginia is a character in the classic French farce "Il cappello di paglia di Firenze" ("The Florentine Straw Hat"), around whom part of the play’s romantic and comedic misunderstandings revolve.
  • E. Virginia
    Virginia is a coastal township in Montserrado County, Liberia, known for its beaches and proximity to the capital, Monrovia.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6546d4819092187e9c12a30ed5 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e462e5c08c8190bba2e3c8ec82051b completed April 19, 2026, 5:06 a.m.
Created at: April 8, 2026, 9:27 p.m.