Triple

T25976057
Position Surface form Disambiguated ID Type / Status
Subject State Road E645942 entity
Predicate mayServeFunction P159622 FINISHED
Object arterial road 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: arterial road | Statement: [State Road, mayServeFunction, arterial road]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayServeFunction
Context triple: [State Road, mayServeFunction, arterial road]
  • A. mayServe
    Indicates that one entity is permitted or authorized to provide a service or function to another entity.
  • B. mayServeOn
    Indicates that one entity is permitted or eligible to serve on another entity, such as a group, body, or committee.
  • C. mayProvideServiceIn
    Indicates that one entity is permitted or authorized to offer or perform a service within the scope, area, or context defined by another entity.
  • D. canServeOn
    Indicates that one entity is eligible or permitted to serve on another entity, such as a group, body, or committee.
  • E. mayProvideFor
    Indicates that one entity is permitted or has the option to supply, support, or otherwise furnish something for another entity.
  • F. None of above. chosen

Provenance (4 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_69e77e8768648190b27bb578f14bcb88 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6050973a0819082e9b568175b7991 completed May 2, 2026, 2:07 p.m.
PD Predicate disambiguation batch_69f4a10480748190a2e67bd399fc435d completed May 1, 2026, 12:48 p.m.
PDg Predicate description generation batch_69f55e497fa081909bc59a7b92c5df59 completed May 2, 2026, 2:15 a.m.
Created at: April 22, 2026, 8:51 a.m.