Triple

T13115606
Position Surface form Disambiguated ID Type / Status
Subject Jiménez Hall E311083 entity
Predicate near P350 FINISHED
Object Marie Mount Hall E311080 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: Marie Mount Hall | Statement: [Jiménez Hall, near, Marie Mount Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marie Mount Hall
Context triple: [Jiménez Hall, near, Marie Mount Hall]
  • A. Marie Mount Hall chosen
    Marie Mount Hall is an academic building on the University of Maryland, College Park campus, named after longtime home economics professor Marie Mount.
  • B. Hendrie Hall
    Hendrie Hall is a historic Yale University building that serves as a key rehearsal, practice, and performance facility for the Yale School of Music.
  • C. Morgan Hall
    Morgan Hall is a prominent academic and administrative building located at the heart of the Harvard Business School campus.
  • D. Morgan Hall
    Morgan Hall is a historic campus building at Wells College, notable for its architectural and institutional significance to the college’s heritage.
  • E. Demaray Hall
    Demaray Hall is a prominent academic and administrative building serving as a central landmark on the Seattle Pacific University campus in Seattle, Washington.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98180b6ac8190ae5a1f7c1480bd54 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e28105c481908781775ba489c296 completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:06 p.m.