Triple

T18987993
Position Surface form Disambiguated ID Type / Status
Subject Surf City, New Jersey E464604 entity
Predicate hasLifeguardedBeaches P12976 FINISHED
Object true 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: true | Statement: [Surf City, New Jersey, hasLifeguardedBeaches, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLifeguardedBeaches
Context triple: [Surf City, New Jersey, hasLifeguardedBeaches, true]
  • A. hasLifeguardService chosen
    Indicates that a location or facility provides lifeguard supervision or rescue services.
  • B. hasBeachTagRequirement
    Indicates that something is subject to a specific requirement or condition related to beach access, use, or tagging.
  • C. hasSurfingBeaches
    Indicates that a location possesses beaches suitable or designated for surfing activities.
  • D. hasBeachUse
    Indicates that an entity is used for, designated for, or associated with beach-related activities or purposes.
  • E. hasBeach
    Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6618ab881909c0ed94930e42e68 completed April 20, 2026, 7:31 a.m.
PD Predicate disambiguation batch_69e4a2f88e0c81908cb20f08bf24cd32 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 12:01 p.m.