Triple

T23745801

Position	Surface form	Disambiguated ID	Type / Status
Subject	豊後大野市	`E586809`	entity
Predicate	hasRiver	`P165`	FINISHED
Object	緒方川緒方川は、大分県南部の豊後大野市を流れる中小河川で、周辺の農地や集落の生活・景観を支える地域の代表的な川である。	`E1669674`	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: 緒方川 | Statement: [豊後大野市, hasRiver, 緒方川]

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: 緒方川
Triple: [豊後大野市, hasRiver, 緒方川]

Generated description

緒方川は、大分県南部の豊後大野市を流れる中小河川で、周辺の農地や集落の生活・景観を支える地域の代表的な川である。

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_69e24908efb08190bf755c3a9b91f222`	completed	April 17, 2026, 2:51 p.m.
NER	Named-entity recognition	`batch_69f1bcbded748190b305fc39ed71fa3f`	completed	April 29, 2026, 8:09 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10678c6ff881908cbd79b446d8c61e`	completed	May 22, 2026, 2:26 p.m.
NEDg	Description generation	`batch_6a10682a780481909e65b07b84970e88`	completed	May 22, 2026, 2:28 p.m.
NED2	Entity disambiguation (via description)	`batch_6a10690ca604819082ba4cec816958cb`	completed	May 22, 2026, 2:32 p.m.

Created at: April 17, 2026, 7:12 p.m.