Triple

T36219955
Position Surface form Disambiguated ID Type / Status
Subject Noosa Sound E1047817 entity
Predicate realEstateProfile P124397 FINISHED
Object high-value waterfront properties 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: high-value waterfront properties | Statement: [Noosa Sound, realEstateProfile, high-value waterfront properties]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: realEstateProfile
Context triple: [Noosa Sound, realEstateProfile, high-value waterfront properties]
  • A. realEstateProject
    Indicates a relationship where an entity is involved in, associated with, or represents a specific real estate development project.
  • B. realEstate
    Indicates a relationship where an entity owns, manages, or is otherwise associated with real property such as land or buildings.
  • C. realEstateInterestsThrough
    Indicates that one party holds or exercises real estate interests indirectly through another entity, arrangement, or intermediary.
  • D. realEstateMarketCharacteristic chosen
    Indicates a characteristic, condition, or defining feature of a real estate market.
  • E. notableLicensedProperty
    Indicates that one entity is a prominent or significant intellectual property for which another entity holds an official license or usage rights.
  • 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_69f76e42c878819095c8d19c0267fb87 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b58004f08190b47d3602e0aa50fb completed May 3, 2026, 8:52 p.m.
PD Predicate disambiguation batch_69f7b4c44390819084fb5558b354658f completed May 3, 2026, 8:49 p.m.
Created at: May 3, 2026, 4:09 p.m.