Triple

T1630113
Position Surface form Disambiguated ID Type / Status
Subject Disney PhotoPass E35236 entity
Predicate photoRetentionPolicy P12561 FINISHED
Object photos stored for a limited time 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: photos stored for a limited time | Statement: [Disney PhotoPass, photoRetentionPolicy, photos stored for a limited time]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: photoRetentionPolicy
Context triple: [Disney PhotoPass, photoRetentionPolicy, photos stored for a limited time]
  • A. preservationPolicy chosen
    Indicates the rules or strategy governing how something is maintained, protected, and retained over time.
  • B. preservationFactor
    Indicates the degree to which something is protected, maintained, or kept intact over time, often moderating how much change, loss, or degradation occurs.
  • C. preservationMethod
    Indicates the technique or process used to maintain, protect, or prolong the condition, quality, or usability of something over time.
  • D. preservedAt
    Indicates that something is kept, maintained, or conserved in a particular place or context.
  • E. preservationFocus
    Indicates that the primary concern or emphasis is on maintaining, protecting, or conserving something in its existing or intended state.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9431af5ac8190893133f1ae490142 completed March 5, 2026, 8:47 a.m.
PD Predicate disambiguation batch_69a907c91c888190b6ed295c1a2e0977 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:28 p.m.