Triple

T30514879
Position Surface form Disambiguated ID Type / Status
Subject Kashii-gū E776534 entity
Predicate hasAlternativeName P39 FINISHED
Object 香椎宮
香椎宮（かしいぐう）は、福岡県福岡市東区にある、仲哀天皇と神功皇后を主祭神とする古社で、勅祭社・官幣大社として知られる神社です。
 E1918862 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: 香椎宮 | Statement: [Kashii-gū, hasAlternativeName, 香椎宮]
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: 香椎宮
Triple: [Kashii-gū, hasAlternativeName, 香椎宮]
Generated description
香椎宮（かしいぐう）は、福岡県福岡市東区にある、仲哀天皇と神功皇后を主祭神とする古社で、勅祭社・官幣大社として知られる神社です。

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_69f2249b23c4819087fa85496d92f43f completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f687bcc4b48190b7c2a6c814bf2916 completed May 2, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27be6d2dcc8190910d94c0827913d2 completed June 9, 2026, 7:19 a.m.
NEDg Description generation batch_6a27bfd862cc81909e6aa7001a4bfe99 completed June 9, 2026, 7:25 a.m.
NED2 Entity disambiguation (via description) batch_6a27c03e511c81908d1c713a29fee903 completed June 9, 2026, 7:26 a.m.
Created at: April 29, 2026, 8:16 p.m.