Triple

T34176074
Position Surface form Disambiguated ID Type / Status
Subject 大阪市此花区 E876674 entity
Predicate hasRiver P165 FINISHED
Object 正蓮寺川
正蓮寺川は、大阪市此花区を流れる都市河川で、周辺地域の景観や治水に重要な役割を果たしている川である。
 E2083984 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: 正蓮寺川 | Statement: [大阪市此花区, hasRiver, 正蓮寺川]
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: 正蓮寺川
Triple: [大阪市此花区, hasRiver, 正蓮寺川]
Generated description
正蓮寺川は、大阪市此花区を流れる都市河川で、周辺地域の景観や治水に重要な役割を果たしている川である。

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_69f349ad97ac8190bf1f17417c970e64 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70fe9fc488190b55b7cf618473fc6 completed May 3, 2026, 9:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36c1dc9bf481908b7c19e011db727d completed June 20, 2026, 4:37 p.m.
NEDg Description generation batch_6a36c29f87d081908c03e8fb251b7e71 completed June 20, 2026, 4:41 p.m.
NED2 Entity disambiguation (via description) batch_6a36c486d2888190b990ac07ac3f089f completed June 20, 2026, 4:49 p.m.
Created at: May 1, 2026, 1:54 a.m.