Triple

T35559644
Position Surface form Disambiguated ID Type / Status
Subject Salmon of Knowledge E1027600 entity
Predicate knowledgeTransferredVia P183246 FINISHED
Object taste of its flesh 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: taste of its flesh | Statement: [Salmon of Knowledge, knowledgeTransferredVia, taste of its flesh]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: knowledgeTransferredVia
Context triple: [Salmon of Knowledge, knowledgeTransferredVia, taste of its flesh]
  • A. knowledgeExchange
    Indicates a reciprocal sharing or transfer of knowledge, information, or expertise between entities.
  • B. knowledgeTypeRecorded
    Indicates that the specific type or category of knowledge associated with an entity has been documented or stored.
  • C. knowledgeType
    Indicates the specific category or nature of knowledge associated with an entity or statement (e.g., factual, procedural, conceptual).
  • D. earntBy
    Indicates that something (such as money, points, or a reward) is obtained as a result of the actions, work, or performance of a particular entity.
  • E. knowledgeEffect
    Indicates the impact or change that possessing or acquiring certain knowledge has on an entity, such as altering its beliefs, capabilities, or behavior.
  • 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_69f76e020fd8819081cb080e7e203083 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79a54aa3c8190b2bb5d790b2d42d4 completed May 3, 2026, 6:56 p.m.
PD Predicate disambiguation batch_69f7961970408190b669cc556e30a608 completed May 3, 2026, 6:38 p.m.
PDg Predicate description generation batch_69f79a53ccc481908421ae16e69aa8a4 completed May 3, 2026, 6:56 p.m.
Created at: May 3, 2026, 4:04 p.m.