Triple

T28948209
Position Surface form Disambiguated ID Type / Status
Subject 稲城市 E730935 entity
Predicate roadServedBy P385 FINISHED
Object 川崎街道
川崎街道は、東京都多摩地域と神奈川県川崎市方面を結び、沿線の住宅地や商業地を貫く主要道路の一つです。
E1841196 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: 川崎街道 | Statement: [稲城市, roadServedBy, 川崎街道]
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: 川崎街道
Triple: [稲城市, roadServedBy, 川崎街道]
Generated description
川崎街道は、東京都多摩地域と神奈川県川崎市方面を結び、沿線の住宅地や商業地を貫く主要道路の一つです。

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_69f043eb9bcc819091ac7b07aecb6475 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f65b8a9a6c819091b9ec4563704490 completed May 2, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24ec49d6488190b72cea0b9b176655 completed June 7, 2026, 3:58 a.m.
NEDg Description generation batch_6a24f0319b708190b5d3a875fbc6810c completed June 7, 2026, 4:14 a.m.
NED2 Entity disambiguation (via description) batch_6a24f43f7cb881909d591ee6248b6c2b completed June 7, 2026, 4:31 a.m.
Created at: April 28, 2026, 8:42 a.m.