Triple

T11301443
Position Surface form Disambiguated ID Type / Status
Subject Lyman Spitzer Building at Princeton University E267598 entity
Predicate namedAfterPersonCitizenship P17299 FINISHED
Object American LITERAL 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: American | Statement: [Lyman Spitzer Building at Princeton University, namedAfterPersonCitizenship, American]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: namedAfterPersonCitizenship
Context triple: [Lyman Spitzer Building at Princeton University, namedAfterPersonCitizenship, American]
  • A. namedAfterCountryOfCitizenship
    Indicates that something is named after the country where a person holds citizenship.
  • B. definedCitizenship
    Indicates that a formal citizenship status has been legally established or specified for an entity.
  • C. hasAncestralCitizenshipOf
    Indicates that an entity holds or is recognized as holding citizenship of another entity based on ancestral or lineage connections rather than solely on birth or residence.
  • D. namedForNationality chosen
    Indicates that something is named after or in reference to a particular nationality or national identity.
  • E. hasBiographicalSubjectCitizenship
    Indicates that the biographical subject holds or has held citizenship in the specified country or political entity.
  • F. None of above.

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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a4aad4819097384e1b591be2e3 completed April 9, 2026, 6:02 p.m.
PD Predicate disambiguation batch_69d787a6ca2c8190afdc24b61ccd3f8a completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:32 p.m.