Triple

T4240430
Position Surface form Disambiguated ID Type / Status
Subject Lake Mälaren E95397 entity
Predicate islandCount P44832 FINISHED
Object numerous islands 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: numerous islands | Statement: [Lake Mälaren, islandCount, numerous islands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: islandCount
Context triple: [Lake Mälaren, islandCount, numerous islands]
  • A. hasNumberOfInhabitedIslands
    Indicates the relationship that specifies how many islands within a given area or jurisdiction are inhabited.
  • B. numberOfIslandsAndReefs chosen
    Indicates the count of islands and reefs associated with or contained within a given geographic or administrative entity.
  • C. islandSize
    Indicates the size or area measurement associated with a particular island.
  • D. hasNumberOfMajorIslands
    Indicates the quantitative relationship specifying how many major islands are associated with a given entity.
  • E. numberOfCays
    Indicates the quantity of cays (small low-elevation islands or sandbanks) associated with or contained within a given geographic entity.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e77fb5c8190b298818acb68ff63 completed March 12, 2026, 11:38 p.m.
PD Predicate disambiguation batch_69b347f587148190a1830503459939b6 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:05 p.m.