Triple

T32955392
Position Surface form Disambiguated ID Type / Status
Subject Lawton Avenue E843084 entity
Predicate wideningProjectPurpose P50445 FINISHED
Object increase traffic capacity 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: increase traffic capacity | Statement: [Lawton Avenue, wideningProjectPurpose, increase traffic capacity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wideningProjectPurpose
Context triple: [Lawton Avenue, wideningProjectPurpose, increase traffic capacity]
  • A. wideningProgram
    Indicates that one entity is a program or process that increases the scope, capacity, or extent of another entity.
  • B. additionalFundingPurpose
    Indicates the specific reason or intended use for which additional funding is sought or allocated beyond the original amount.
  • C. expansionProject chosen
    Indicates a project whose primary purpose is to enlarge, extend, or increase the capacity, scope, or reach of something.
  • D. intendedProject
    Indicates that an entity is the planned or targeted project associated with another entity (such as a person, organization, or activity).
  • E. purposeOfGrant
    Indicates that a grant is provided with the specific purpose, objective, or intended use described by the associated entity or activity.
  • 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_69f3494a31f481909057136e49b4fe60 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d74b20a48190900dda1014cc13a8 completed May 3, 2026, 5:04 a.m.
PD Predicate disambiguation batch_69f6d26f27dc8190ae426a3e1573933e completed May 3, 2026, 4:43 a.m.
Created at: May 1, 2026, 1:21 a.m.