Triple

T9199293
Position Surface form Disambiguated ID Type / Status
Subject Arts Quad E220794 entity
Predicate near P350 FINISHED
Object Ho Plaza E771709 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: Ho Plaza | Statement: [Arts Quad, near, Ho Plaza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ho Plaza
Context triple: [Arts Quad, near, Ho Plaza]
  • A. Ho Plaza chosen
    Ho Plaza is a central pedestrian thoroughfare and gathering space on Cornell University’s campus, often used for student activities and events.
  • B. The Plaza
    The Plaza is a legendary luxury hotel in New York City, renowned for its opulent architecture, historic significance, and frequent appearances in popular culture.
  • C. La Gran Plaza
    La Gran Plaza, also known as the Macroplaza, is a vast central public square in Monterrey, Mexico, renowned for its monuments, government buildings, and cultural attractions.
  • D. Plaza de América
    Plaza de América is a grand ornamental square in Seville, Spain, known for its landscaped gardens, fountains, and surrounding Neo-Mudéjar and Renaissance Revival buildings.
  • E. Ambrosio Plaza
    Ambrosio Plaza was a Venezuelan military officer who played a notable role in the country’s war of independence against Spanish colonial rule.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd880ab808190aa785a5f1e5d5976 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c40267c8190926f4d5c912d0f45 completed April 4, 2026, 12:33 a.m.
Created at: March 30, 2026, 7:25 p.m.