Triple

T4236558
Position Surface form Disambiguated ID Type / Status
Subject T-Street Beach E94707 entity
Predicate hasGeneralAtmosphere P54850 FINISHED
Object casual 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: casual | Statement: [T-Street Beach, hasGeneralAtmosphere, casual]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGeneralAtmosphere
Context triple: [T-Street Beach, hasGeneralAtmosphere, casual]
  • A. hasAtmosphere
    Indicates that an astronomical body possesses a surrounding layer of gases held by its gravity.
  • B. hasAtmosphericFeature
    Indicates that one entity possesses or exhibits a particular feature or characteristic of its atmosphere.
  • C. hasMainAtmosphericComponent
    Indicates that one entity has another entity as the primary constituent of its atmosphere.
  • D. capturesAtmosphereOf
    Indicates that one entity successfully conveys or reflects the overall mood, tone, or ambiance characteristic of another entity.
  • E. hasExosphere
    Indicates that an astronomical body possesses an exosphere, the outermost, extremely thin layer of its atmosphere.
  • F. None of above. chosen

Provenance (4 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e7422a88190955f5f4347fa80d2 completed March 12, 2026, 11:38 p.m.
PD Predicate disambiguation batch_69b347f3bd188190b0cd613e8a5c1683 completed March 12, 2026, 11:10 p.m.
PDg Predicate description generation batch_69b34e04ef1c81908bb34ae1cbfab1e6 completed March 12, 2026, 11:36 p.m.
Created at: March 12, 2026, 11:05 p.m.