Triple

T38342791
Position Surface form Disambiguated ID Type / Status
Subject King Street (Charleston) E1041452 entity
Predicate upperSectionKnownFor P110087 FINISHED
Object restaurants and nightlife 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: restaurants and nightlife | Statement: [King Street (Charleston), upperSectionKnownFor, restaurants and nightlife]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: upperSectionKnownFor
Context triple: [King Street (Charleston), upperSectionKnownFor, restaurants and nightlife]
  • A. nowKnownFor
    Indicates that an entity is currently recognized or notable for a particular role, attribute, achievement, or association.
  • B. segmentKnownFor chosen
    Indicates that a specific segment or portion of something is recognized or notable for a particular characteristic, feature, or association.
  • C. laterKnownFor
    Indicates that an entity became recognized or notable for something at a later time than the context or event currently being referred to.
  • D. namedForKnownFor
    Indicates that one entity is named after another entity specifically because that other entity is notable or recognized for something.
  • E. underlyingKnownFor
    Indicates that one entity is fundamentally or primarily recognized as the basis or main reason for another entity’s notability or fame.
  • 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_69f76e2ad95481908c920c0e5c1c3e26 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc7a4d7f881908b43b960911b81e9 completed May 7, 2026, 5:11 p.m.
PD Predicate disambiguation batch_69fcc589720c819089c8f500fea3c86a completed May 7, 2026, 5:02 p.m.
Created at: May 3, 2026, 4:30 p.m.