Triple

T38174115
Position Surface form Disambiguated ID Type / Status
Subject Fournier Street Conservation Area E1000155 entity
Predicate hasTownscapeCharacter P195219 FINISHED
Object narrow streets 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: narrow streets | Statement: [Fournier Street Conservation Area, hasTownscapeCharacter, narrow streets]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTownscapeCharacter
Context triple: [Fournier Street Conservation Area, hasTownscapeCharacter, narrow streets]
  • A. hasSmallTownCharacter
    Indicates that something possesses the qualities or atmosphere typically associated with a small town, such as intimacy, familiarity, and a close-knit community feel.
  • B. oldTownCharacter
    Indicates that something possesses the distinctive qualities or atmosphere typically associated with an old town.
  • C. isScenicTown
    Indicates that a town is visually attractive or picturesque, often due to its natural surroundings, architecture, or overall aesthetic appeal.
  • D. hasCampusTownCharacter
    Indicates that a place exhibits qualities or atmosphere typically associated with a college or university town.
  • E. hasVillageLikeCharacter
    Indicates that something possesses qualities or features characteristic of a village, such as small scale, local community feel, or rural-like atmosphere.
  • 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_69f76daaace48190a38cee37f8ce343f completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fdb04ed81c8190b8feea90c1c785a6 completed May 8, 2026, 9:43 a.m.
PD Predicate disambiguation batch_69fda9d6c5148190a63205b6d9b0a1b4 completed May 8, 2026, 9:16 a.m.
PDg Predicate description generation batch_69fdb04d37288190969a0f39d92efb49 completed May 8, 2026, 9:43 a.m.
Created at: May 3, 2026, 4:29 p.m.