Triple

T2909120
Position Surface form Disambiguated ID Type / Status
Subject John Lennon Park E63638 entity
Predicate hasTouristAppeal P33155 FINISHED
Object photo opportunities with John Lennon statue 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: photo opportunities with John Lennon statue | Statement: [John Lennon Park, hasTouristAppeal, photo opportunities with John Lennon statue]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTouristAppeal
Context triple: [John Lennon Park, hasTouristAppeal, photo opportunities with John Lennon statue]
  • A. hasTouristPopularity
    Indicates that a place or attraction is recognized as being popular or frequently visited by tourists.
  • B. isTouristDestination
    Indicates that a place is recognized as a location people commonly visit for leisure, sightseeing, or travel.
  • C. hasTourismFunction chosen
    Indicates that an entity serves a role or purpose related to tourism, such as attracting, accommodating, or providing services to tourists.
  • D. hasTouristInfrastructure
    Indicates that a place is equipped with facilities and services designed to support and accommodate tourists.
  • E. hasTouristRank
    Indicates that an entity is assigned a specific rank or rating based on its attractiveness or importance as a tourist destination.
  • 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0d329c88190b6fcaef0be1799eb completed March 7, 2026, 8:24 a.m.
PD Predicate disambiguation batch_69abdd19bac881908f047d616aca8438 completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:11 p.m.