Triple

T2905803
Position Surface form Disambiguated ID Type / Status
Subject Hosier Lane E62758 entity
Predicate timeCharacteristic P42651 FINISHED
Object artworks frequently repainted 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: artworks frequently repainted | Statement: [Hosier Lane, timeCharacteristic, artworks frequently repainted]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeCharacteristic
Context triple: [Hosier Lane, timeCharacteristic, artworks frequently repainted]
  • A. timeType
    Indicates the specific temporal category or classification associated with a time-related entity or value (e.g., duration, point in time, interval, or recurrence type).
  • B. timePeriod
    Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
  • C. timeStructure
    Indicates that one entity defines, constrains, or organizes the temporal framework or schedule within which another entity exists or operates.
  • D. timeNotation
    Indicates the specific system or format used to represent and write times (e.g., 12-hour vs 24-hour notation).
  • E. timeDescribedAs
    Indicates that a specific time or temporal interval is characterized, labeled, or expressed using a particular description or representation.
  • 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0cee7988190875665145c3cd605 completed March 7, 2026, 8:24 a.m.
PD Predicate disambiguation batch_69abdd19bac881908f047d616aca8438 completed March 7, 2026, 8:08 a.m.
PDg Predicate description generation batch_69abdd96670c8190b727f9ac27dadf67 completed March 7, 2026, 8:11 a.m.
Created at: March 6, 2026, 10:11 p.m.