Triple

T2437621
Position Surface form Disambiguated ID Type / Status
Subject Pierre Deligne E53196 entity
Predicate workLocation P7 FINISHED
Object Princeton E244565 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: Princeton | Statement: [Pierre Deligne, workLocation, Princeton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Princeton
Context triple: [Pierre Deligne, workLocation, Princeton]
  • A. Princeton chosen
    Princeton is a historic New Jersey town best known as the site of the pivotal 1777 Battle of Princeton during the American Revolutionary War and as home to Princeton University.
  • B. Princeton
    Princeton is a small town in Johnston County, North Carolina, known for its rural character and tight-knit community.
  • C. Princeton
    Princeton is a small but rapidly growing city in Collin County, Texas, situated in the northeastern part of the Dallas–Fort Worth metropolitan area.
  • D. Princeton
    Princeton is a small city in southern West Virginia known as a regional hub for commerce, education, and access to outdoor recreation in the Appalachian region.
  • E. Princeton University
    Princeton University is a prestigious private Ivy League research university located in Princeton, New Jersey, renowned for its strong undergraduate focus and influential contributions across the sciences, humanities, and public affairs.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f4d2dc8190b3c264a6c20d1bd5 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69bf10a00c5c819090fa26ce068033b6 completed March 21, 2026, 9:41 p.m.
Created at: March 6, 2026, 9:43 p.m.