Triple

T31906589
Position Surface form Disambiguated ID Type / Status
Subject Orcutt, California E814568 entity
Predicate hasLibraryServiceProvider P13887 FINISHED
Object Santa Maria Public Library system
The Santa Maria Public Library system is a regional public library network serving Santa Maria and surrounding communities in northern Santa Barbara County, California.
E1983071 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: Santa Maria Public Library system | Statement: [Orcutt, California, hasLibraryServiceProvider, Santa Maria Public Library system]
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: Santa Maria Public Library system
Triple: [Orcutt, California, hasLibraryServiceProvider, Santa Maria Public Library system]
Generated description
The Santa Maria Public Library system is a regional public library network serving Santa Maria and surrounding communities in northern Santa Barbara County, California.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLibraryServiceProvider
Context triple: [Orcutt, California, hasLibraryServiceProvider, Santa Maria Public Library system]
  • A. hasServiceProvider chosen
    Indicates that an entity is associated with or supported by a specific service provider.
  • B. hasLibraries
    Indicates that an entity possesses, contains, or is associated with one or more libraries.
  • C. hasOfficialLibrary
    Indicates that an entity possesses or is served by a formally recognized, authorized library.
  • D. hasPublicLibraryType
    Indicates that an entity is associated with a specific type or category of public library.
  • E. hasServiceModule
    Indicates that an entity is equipped with, or associated with, a specific service module that provides supporting or auxiliary functions.
  • 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_69f348f04d7881909537fc9e7cbc670e completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fd8ccbd4c88190b13aae0673b3c821 completed May 8, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e7ff793b88190addfee33c847ece8 completed June 14, 2026, 10:18 a.m.
NEDg Description generation batch_6a2e821f5920819082888a4342af90a7 completed June 14, 2026, 10:27 a.m.
NED2 Entity disambiguation (via description) batch_6a2e82b92a1c819094e02ba02df370e4 completed June 14, 2026, 10:30 a.m.
PD Predicate disambiguation batch_69fd8ae2227c819089546f5c3629799e completed May 8, 2026, 7:04 a.m.
Created at: May 1, 2026, midnight