Triple

T35800409
Position Surface form Disambiguated ID Type / Status
Subject 利根川 E1034958 entity
Predicate 流域都市 P183690 FINISHED
Object 古河市
古河市は、茨城県西部に位置し、利根川沿いの交通と商業の要衝として発展してきた都市である。
E2156688 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: 古河市 | Statement: [利根川, 流域都市, 古河市]
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: 古河市
Triple: [利根川, 流域都市, 古河市]
Generated description
古河市は、茨城県西部に位置し、利根川沿いの交通と商業の要衝として発展してきた都市である。

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_69f76e169bd081909f16cd8c9ee7870c completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a8d67d608190b0d51c170f2c1d2a completed May 3, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38916a58e88190b89bd8bd05c5538b completed June 22, 2026, 1:35 a.m.
NEDg Description generation batch_6a3892bb6a988190872dc116c08f6226 completed June 22, 2026, 1:41 a.m.
NED2 Entity disambiguation (via description) batch_6a389318ff248190b94e729cc46e55b5 completed June 22, 2026, 1:42 a.m.
Created at: May 3, 2026, 4:06 p.m.