Triple

T4232504
Position Surface form Disambiguated ID Type / Status
Subject San Francisco Office of the Assessor-Recorder E94611 entity
Predicate dataProduced P490 FINISHED
Object annual assessment roll for San Francisco 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: annual assessment roll for San Francisco | Statement: [San Francisco Office of the Assessor-Recorder, dataProduced, annual assessment roll for San Francisco]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dataProduced
Context triple: [San Francisco Office of the Assessor-Recorder, dataProduced, annual assessment roll for San Francisco]
  • A. productionBy
    Indicates that something is created, manufactured, or generated by a particular agent, organization, or process.
  • B. produces chosen
    Indicates that one entity creates, generates, or yields another entity as a result or output.
  • C. producedOn
    Indicates that something was created, manufactured, or brought into existence at a specific date or time.
  • D. totalProduction
    Indicates the overall quantity of goods, services, or output produced by an entity or system over a specified period or within a defined scope.
  • E. isFrequentlyProducedBy
    Indicates that something is commonly or regularly generated, created, or brought about by a particular entity or source.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e642aac8190977dd101e27afcbb completed March 12, 2026, 11:38 p.m.
PD Predicate disambiguation batch_69b347f3bd188190b0cd613e8a5c1683 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:05 p.m.