Triple

T24738
Position Surface form Disambiguated ID Type / Status
Subject Cambridge, England E492 entity
Predicate hasRiverActivity P1477 FINISHED
Object punting 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: punting | Statement: [Cambridge, England, hasRiverActivity, punting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRiverActivity
Context triple: [Cambridge, England, hasRiverActivity, punting]
  • A. hasRiver
    Indicates that a location or area contains, is traversed by, or is directly associated with a river.
  • B. riverSystem
    Indicates that one entity is a river system to which the other entity belongs or is a component (such as a tributary or segment).
  • C. crossedByRiver
    Indicates that a river passes across or through a specified area, feature, or route.
  • D. tributary
    Indicates that one watercourse flows into and feeds another, contributing its water to a larger stream, river, or lake.
  • E. hasMajorLake
    Indicates that a geographic region or area contains at least one significant lake within its boundaries.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a246d794448190bb2844fcd0538eaa completed Feb. 28, 2026, 1:37 a.m.
PD Predicate disambiguation batch_69a24657635881908f3415bc1bdfa1b5 completed Feb. 28, 2026, 1:35 a.m.
PDg Predicate description generation batch_69a246d6aca88190a86b7c41d497bacd completed Feb. 28, 2026, 1:37 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.