Triple

T28061437
Position Surface form Disambiguated ID Type / Status
Subject Kairakuen Park E709120 entity
Predicate locatedIn P40 FINISHED
Object Mito City urban area
Mito City urban area is a major urban center in Ibaraki Prefecture, Japan, known for its historical significance and cultural attractions including renowned traditional gardens and seasonal festivals.
 E1800050 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: Mito City urban area | Statement: [Kairakuen Park, locatedIn, Mito City urban area]
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: Mito City urban area
Triple: [Kairakuen Park, locatedIn, Mito City urban area]
Generated description
Mito City urban area is a major urban center in Ibaraki Prefecture, Japan, known for its historical significance and cultural attractions including renowned traditional gardens and seasonal festivals.

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_69ef9b6eb6d88190a3fea236eb0f7bed completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f640174f388190b2c018b39d8aeeac completed May 2, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15b8c7830481909737fc7b838b7a45 completed May 26, 2026, 3:14 p.m.
NEDg Description generation batch_6a15bc11872081909d0a71143480f14b completed May 26, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_6a15bc868f1c8190aebed79342eb9a8c completed May 26, 2026, 3:30 p.m.
Created at: April 27, 2026, 8:40 p.m.