Triple

T24719341
Position Surface form Disambiguated ID Type / Status
Subject 川越市 E612252 entity
Predicate 主要鉄道路線 P848 FINISHED
Object 東武東上線
東武東上線は、東京都と埼玉県西部を結び池袋と川越などを走る東武鉄道の主要な通勤・都市間鉄道路線です。
 E1646581 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: 東武東上線 | Statement: [川越市, 主要鉄道路線, 東武東上線]
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: 東武東上線
Triple: [川越市, 主要鉄道路線, 東武東上線]
Generated description
東武東上線は、東京都と埼玉県西部を結び池袋と川越などを走る東武鉄道の主要な通勤・都市間鉄道路線です。

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_69e2d7d6e7a48190bb43b0d8bb1137a0 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f410163bac81909d51a8b64f7d0afc completed May 1, 2026, 2:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101014fe788190b611e7cadbd20d07 completed May 22, 2026, 8:13 a.m.
NEDg Description generation batch_6a10136d2c448190918a7eeb751a2a84 completed May 22, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a10143c5c84819081dd4f953fa9841a completed May 22, 2026, 8:30 a.m.
Created at: April 18, 2026, 3:40 a.m.