Triple

T17835842
Position Surface form Disambiguated ID Type / Status
Subject Hokkaido Main Line E445380 entity
Predicate majorStation P1071 FINISHED
Object Iwamizawa Station
Iwamizawa Station is a key railway hub in Iwamizawa, Hokkaido, Japan, serving as an important junction for regional and intercity train services.
 E2294243 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: Iwamizawa Station | Statement: [Hokkaido Main Line, majorStation, Iwamizawa Station]
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: Iwamizawa Station
Triple: [Hokkaido Main Line, majorStation, Iwamizawa Station]
Generated description
Iwamizawa Station is a key railway hub in Iwamizawa, Hokkaido, Japan, serving as an important junction for regional and intercity train services.

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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d27f8908190bf48a8153756effa completed April 19, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7bc2b0daa48190a8fc71443a508b4f completed Aug. 12, 2026, 12:47 a.m.
NEDg Description generation batch_6a7bc344a2c0819087811f0e94a9f2d2 completed Aug. 12, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_6a7bc367551481908121babc387054ad completed Aug. 12, 2026, 12:50 a.m.
Created at: April 10, 2026, 10:16 a.m.