Triple

T30029176
Position Surface form Disambiguated ID Type / Status
Subject Ebetsu E762963 entity
Predicate hasNationalRoute P66899 FINISHED
Object Japan National Route 12
Japan National Route 12 is a major national highway in Hokkaido, Japan, connecting the cities of Sapporo and Asahikawa and serving as an important inland transportation corridor.
 E1902676 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: Japan National Route 12 | Statement: [Ebetsu, hasNationalRoute, Japan National Route 12]
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: Japan National Route 12
Triple: [Ebetsu, hasNationalRoute, Japan National Route 12]
Generated description
Japan National Route 12 is a major national highway in Hokkaido, Japan, connecting the cities of Sapporo and Asahikawa and serving as an important inland transportation corridor.

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_69f2246ee6e48190b69e837b913b398a completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f679ae15908190b97e7356d8f62949 completed May 2, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27581e24048190bd312c9fad5f913f completed June 9, 2026, 12:02 a.m.
NEDg Description generation batch_6a275a4311f08190b067b8c94e48d019 completed June 9, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_6a275aeeed3c8190ba20d38ec0af1c74 completed June 9, 2026, 12:14 a.m.
Created at: April 29, 2026, 6:49 p.m.