Triple

T35341701
Position Surface form Disambiguated ID Type / Status
Subject 近江八幡市 E1020614 entity
Predicate administrativeCenter P1474 FINISHED
Object 近江八幡市役所
近江八幡市役所は、滋賀県近江八幡市の市政運営や住民サービスを担う中核的な行政機関です。
E2136662 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: 近江八幡市役所 | Statement: [近江八幡市, administrativeCenter, 近江八幡市役所]
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: 近江八幡市役所
Triple: [近江八幡市, administrativeCenter, 近江八幡市役所]
Generated description
近江八幡市役所は、滋賀県近江八幡市の市政運営や住民サービスを担う中核的な行政機関です。

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_69f76debb4e08190be52d89b8af2392d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f791592c5c819097f567dde258ac26 completed May 3, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3823ce430c8190b2630aab4def08f0 completed June 21, 2026, 5:47 p.m.
NEDg Description generation batch_6a38254665c88190b7dd9d0767aec8e9 completed June 21, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_6a38260b8ef08190b7ddb0b1bbd8c4d2 completed June 21, 2026, 5:57 p.m.
Created at: May 3, 2026, 4:03 p.m.