Triple

T23671610
Position Surface form Disambiguated ID Type / Status
Subject Tōkaidō post station E584743 entity
Predicate isPartOf P10 FINISHED
Object Gokaidō post station system
The Gokaidō post station system was the network of officially designated waystations along Japan’s five major Edo-period highways, providing lodging, transport, and logistical support for travelers and government officials.
E1593401 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: Gokaidō post station system | Statement: [Tōkaidō post station, isPartOf, Gokaidō post station 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: Gokaidō post station system
Triple: [Tōkaidō post station, isPartOf, Gokaidō post station system]
Generated description
The Gokaidō post station system was the network of officially designated waystations along Japan’s five major Edo-period highways, providing lodging, transport, and logistical support for travelers and government officials.

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_69e24901421881908c17a5293bdd4a8e completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b41002f881908cd744ed44b70f5d completed April 29, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f45b86a4081909c11ddebb2081826 completed May 21, 2026, 5:49 p.m.
NEDg Description generation batch_6a0f46fc87888190ac1533fc3c67780f completed May 21, 2026, 5:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f47c1651c8190bd49eb119f7525ec completed May 21, 2026, 5:58 p.m.
Created at: April 17, 2026, 6:50 p.m.