Triple

T24286444
Position Surface form Disambiguated ID Type / Status
Subject myth of the Heavenly Rock Cave (Ama-no-Iwato) E605683 entity
Predicate featuresDeity P20396 FINISHED
Object Tajikarao
Tajikarao is a powerful Shinto deity famed for using his immense strength to help reveal the sun goddess Amaterasu from her cave, restoring light to the world.
E1638631 NE 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: Tajikarao | Statement: [myth of the Heavenly Rock Cave (Ama-no-Iwato), featuresDeity, Tajikarao]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tajikarao
Triple: [myth of the Heavenly Rock Cave (Ama-no-Iwato), featuresDeity, Tajikarao]
Generated description
Tajikarao is a powerful Shinto deity famed for using his immense strength to help reveal the sun goddess Amaterasu from her cave, restoring light to the world.

Provenance (5 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_69e295480d0c8190846fc3c2e2da1d4c completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28f56cdc08190a1e06f67dffd4769 completed April 29, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fee580c1881909324b71ad821e9ca completed May 22, 2026, 5:49 a.m.
NEDg Description generation batch_6a0fef20efe08190bb4cb412e2473ae5 completed May 22, 2026, 5:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff08d9fac81909ea8af6e6b10102a completed May 22, 2026, 5:58 a.m.
Created at: April 18, 2026, 12:08 a.m.