Triple

T6811793
Position Surface form Disambiguated ID Type / Status
Subject Berks and Hants Line E156650 entity
Predicate historicalSignalling P47327 FINISHED
Object mechanical semaphore signalling (formerly) 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: mechanical semaphore signalling (formerly) | Statement: [Berks and Hants Line, historicalSignalling, mechanical semaphore signalling (formerly)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalSignalling
Context triple: [Berks and Hants Line, historicalSignalling, mechanical semaphore signalling (formerly)]
  • A. historicalSignalStandard chosen
    Indicates that something conforms to or is associated with a signal standard that is no longer current and is of historical relevance.
  • B. historicalType
    Indicates that one entity classifies or characterizes another in terms of its role, status, or category within a historical context.
  • C. historicalPass
    Indicates that an entity has successfully completed or passed a historical event, period, or examination related to history.
  • D. historicalStatusOf
    Indicates the historical condition, role, or classification that an entity held during a specific past period or context.
  • E. historicalIdentificationOf
    Indicates that one entity has been identified, classified, or recognized as another entity within a historical context or by historical sources.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d327e37081909d576e6eff9eec97 completed March 27, 2026, 6:57 p.m.
PD Predicate disambiguation batch_69c6d09bb4f881909bf20c188cb3e8e1 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:16 p.m.