Triple

T261868
Position Surface form Disambiguated ID Type / Status
Subject William Penn E5557 entity
Predicate familyName P18 FINISHED
Object Penn E15422 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: Penn | Statement: [William Penn, familyName, Penn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penn
Context triple: [William Penn, familyName, Penn]
  • A. Penn chosen
    Penn is a private Ivy League research university in Philadelphia known for its strong programs in business, law, medicine, and the liberal arts.
  • B. Pennsylvania
    Pennsylvania is a historically significant U.S. state in the Mid-Atlantic and Northeastern regions, known for cities like Philadelphia and Pittsburgh and its central role in the nation’s founding.
  • C. PENN
    PENN is the stock ticker symbol for PENN Entertainment, a major U.S. gaming and sports-betting company that operates casinos and online wagering platforms.
  • D. Philadelphia
    Philadelphia is a major historic U.S. city in Pennsylvania known for its role in the American Revolution, iconic landmarks like Independence Hall and the Liberty Bell, and its rich cultural and academic institutions.
  • E. Reading, Pennsylvania
    Reading, Pennsylvania is a historic city in southeastern Pennsylvania known for its industrial heritage, location along the Schuylkill River, and role as a regional cultural and transportation hub.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d7428dc8190ae12b12a21fcc6cb completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3eca25d9081909fe6d2ed2cda16d9 completed March 1, 2026, 7:37 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.