Triple

T20501444
Position Surface form Disambiguated ID Type / Status
Subject Slytherin E503313 entity
Predicate hasElementAssociation P53226 FINISHED
Object water 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: water | Statement: [Slytherin, hasElementAssociation, water]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasElementAssociation
Context triple: [Slytherin, hasElementAssociation, water]
  • A. elementalAssociation chosen
    Indicates an association where one entity is linked or related to a particular element or elemental property (such as fire, water, earth, or air).
  • B. hasDimensionAssociation
    Indicates an association between an entity and one or more of its dimensions, such as size, length, width, height, or other measurable extents.
  • C. hasPrimaryAssociation
    Indicates that one entity is chiefly or most directly connected, linked, or related to another among possible associations.
  • D. associatedWithElement
    Indicates a relationship where one entity is linked or connected to a particular element, such that the element is relevant to, involved in, or characteristic of that entity.
  • E. hasSecondElementMeaningAssociation
    Indicates an association where the second element in a pair is linked to or conveys a particular meaning related to the first element.
  • 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cc1ea7081908d17c224b1670bd7 completed April 20, 2026, 9:38 p.m.
PD Predicate disambiguation batch_69e59fcdf6e08190a604204615dc56e6 completed April 20, 2026, 3:38 a.m.
Created at: April 16, 2026, 11:35 a.m.