Triple

T28521514
Position Surface form Disambiguated ID Type / Status
Subject Penthouse E721782 entity
Predicate minimumReaderAge P42793 FINISHED
Object 18 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: 18 | Statement: [Penthouse, minimumReaderAge, 18]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: minimumReaderAge
Context triple: [Penthouse, minimumReaderAge, 18]
  • A. minimumAgeInYears
    Indicates the smallest number of years an entity must have lived or existed to meet a specified age requirement.
  • B. minimumRegistrationAge
    Indicates the lowest age at which an entity is allowed or eligible to register for something.
  • C. maximumAgeRequirement
    Indicates that there is an upper age limit that an entity must not exceed in order for a condition, participation, or eligibility to apply.
  • D. setsMinimumAge chosen
    Indicates that an entity establishes the lowest permissible age required for participation, access, or eligibility in relation to another entity or activity.
  • E. ageLimitYears
    Indicates the maximum allowed age, expressed in years, for which something is valid, permitted, or applicable.
  • 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_69f01a5cbcc4819083fb4e723378713e completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f65a6c900881908f18b61273d7bf8d completed May 2, 2026, 8:11 p.m.
PD Predicate disambiguation batch_69f659ce58408190ba9e007b4810d4d0 completed May 2, 2026, 8:08 p.m.
Created at: April 28, 2026, 3:21 a.m.