Triple

T37996031
Position Surface form Disambiguated ID Type / Status
Subject Nagaoka-kyo archaeological sites vicinity E947956 entity
Predicate locatedNear P294 FINISHED
Object Yodo River system
The Yodo River system is a major river network in Japan’s Kansai region that drains Lake Biwa and flows through Kyoto and Osaka before emptying into Osaka Bay.
E2253189 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: Yodo River system | Statement: [Nagaoka-kyo archaeological sites vicinity, locatedNear, Yodo River system]
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: Yodo River system
Triple: [Nagaoka-kyo archaeological sites vicinity, locatedNear, Yodo River system]
Generated description
The Yodo River system is a major river network in Japan’s Kansai region that drains Lake Biwa and flows through Kyoto and Osaka before emptying into Osaka Bay.

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_69f76efa37088190be5416b7ef1ca275 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbc91982a48190be934dfac8e9aed5 completed May 6, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a415431a9748190861659dbba5c267b completed June 28, 2026, 5:04 p.m.
NEDg Description generation batch_6a415539d7f0819097b84ec74452c300 completed June 28, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_6a4155e5b048819083fa7440a6f9b2b8 completed June 28, 2026, 5:12 p.m.
Created at: May 3, 2026, 4:20 p.m.