Triple

T1919711
Position Surface form Disambiguated ID Type / Status
Subject Historic Preservation Fund grants E40097 entity
Predicate eligibleActivity P8834 FINISHED
Object historic property survey and inventory 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: historic property survey and inventory | Statement: [Historic Preservation Fund grants, eligibleActivity, historic property survey and inventory]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eligibleActivity
Context triple: [Historic Preservation Fund grants, eligibleActivity, historic property survey and inventory]
  • A. hasActivityIn
    Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
  • B. activityType chosen
    Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
  • C. awardedForActivitiesIn
    Indicates that an award or recognition is given to an entity specifically because of activities carried out in a particular field, context, or domain.
  • D. activity
    Indicates that an entity is engaged in or performing a particular action, behavior, or process.
  • E. hasActivityType
    Indicates the specific kind or category of activity associated with an entity or event.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb213af0481909429ec971860a3fd completed March 7, 2026, 5:05 a.m.
PD Predicate disambiguation batch_69abafed2ab481908920334e77b1021b completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.