Triple

T27619089
Position Surface form Disambiguated ID Type / Status
Subject Compact Disc E700518 entity
Predicate dataProtectionFeature P160243 FINISHED
Object CIRC
CIRC (Cross-Interleaved Reed–Solomon Code) is an error-correcting code system used on audio CDs to detect and correct data errors caused by scratches, dust, or other physical damage.
 E1779379 NE FINISHED

How this triple was built (3 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: CIRC | Statement: [Compact Disc, dataProtectionFeature, CIRC]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CIRC
Triple: [Compact Disc, dataProtectionFeature, CIRC]
Generated description
CIRC (Cross-Interleaved Reed–Solomon Code) is an error-correcting code system used on audio CDs to detect and correct data errors caused by scratches, dust, or other physical damage.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: dataProtectionFeature
Context triple: [Compact Disc, dataProtectionFeature, CIRC]
  • A. dataProtectionFeature chosen
    Indicates a feature or mechanism designed to safeguard data from unauthorized access, alteration, loss, or misuse.
  • B. protectsFeature
    Indicates that one entity safeguards, preserves, or defends a particular feature or characteristic of another entity.
  • C. protectionType
    Indicates the kind or method of protection that is applied to or associated with an entity.
  • D. hasDataProtectionAuthority
    Indicates that an entity is subject to, overseen by, or associated with a specific data protection authority responsible for regulating its handling of personal data.
  • E. protectionPolicy
    Indicates that one entity establishes or enforces rules or measures to safeguard another entity from harm, loss, or risk.
  • F. None of above.

Provenance (6 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_69ef6a4f1d9c8190b0705acda054368d completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63fd6c68481908c542aa03e297b9c completed May 2, 2026, 6:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12d0f3755c81909a7f2a44140676ff completed May 24, 2026, 10:20 a.m.
NEDg Description generation batch_6a12d16a912881909edf8e2359b34503 completed May 24, 2026, 10:22 a.m.
NED2 Entity disambiguation (via description) batch_6a12d21a403881908ba269eefc7c160b completed May 24, 2026, 10:25 a.m.
PD Predicate disambiguation batch_69f63c663be481908f233d25d28713a4 completed May 2, 2026, 6:03 p.m.
Created at: April 27, 2026, 2:13 p.m.