Triple

T4369837
Position Surface form Disambiguated ID Type / Status
Subject Pegnitz E98867 entity
Predicate hasRiverIslands P55811 FINISHED
Object small islands in Nuremberg city section 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: small islands in Nuremberg city section | Statement: [Pegnitz, hasRiverIslands, small islands in Nuremberg city section]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRiverIslands
Context triple: [Pegnitz, hasRiverIslands, small islands in Nuremberg city section]
  • A. hasRiver
    Indicates that a location or area contains, is traversed by, or is directly associated with a river.
  • B. hasNumberOfInhabitedIslands
    Indicates the relationship that specifies how many islands within a given area or jurisdiction are inhabited.
  • C. hasIslandAtMouth
    Indicates that a geographic feature, typically a river, has an island located at or near its mouth where it meets a larger body of water.
  • D. hasMajorRiverDelta
    Indicates that a geographic region or water body possesses a significant river delta formed by sediment deposition at or near its mouth.
  • E. hasMajorRiverSystem
    Indicates that an entity possesses or is traversed by a primary, large-scale river network that significantly characterizes its hydrology or geography.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352052b388190b02cca9a3b480be4 completed March 12, 2026, 11:53 p.m.
PD Predicate disambiguation batch_69b34f53e3cc8190bf5d4dbe2413bf65 completed March 12, 2026, 11:42 p.m.
PDg Predicate description generation batch_69b34ff654308190b9717526120d80d3 completed March 12, 2026, 11:44 p.m.
Created at: March 12, 2026, 11:17 p.m.