Triple

T35448155
Position Surface form Disambiguated ID Type / Status
Subject Exeter City Walls E1024542 entity
Predicate percentageSurvives P183373 FINISHED
Object over 70 percent of circuit 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: over 70 percent of circuit | Statement: [Exeter City Walls, percentageSurvives, over 70 percent of circuit]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: percentageSurvives
Context triple: [Exeter City Walls, percentageSurvives, over 70 percent of circuit]
  • A. survivorsFunction
    Indicates that an entity serves or served in a particular functional role or capacity as a survivor in relation to an event or circumstance.
  • B. survivesBy
    Indicates that one entity continues to live or exist after another entity has died or ceased to exist.
  • C. survivingFunction
    Indicates that one entity continues to perform its role or maintain its operational capability after another related entity has failed, ended, or been removed.
  • D. survivesWith
    Indicates that one entity continues to live, endure, or remain viable in the presence, context, or company of another entity.
  • E. survivesIn
    Indicates that an entity remains alive, functional, or intact within a specified environment, condition, or context.
  • 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_69f76df8089481909f0018266ee881b7 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79f7340e4819092a1a47f7028e63f completed May 3, 2026, 7:18 p.m.
PD Predicate disambiguation batch_69f79e4bdbcc8190be7a0d2cf8a77b64 completed May 3, 2026, 7:13 p.m.
PDg Predicate description generation batch_69f79ec14ce08190b22cee0b40d33743 completed May 3, 2026, 7:15 p.m.
Created at: May 3, 2026, 4:04 p.m.