Triple

T35455741
Position Surface form Disambiguated ID Type / Status
Subject 土佐国 E1024767 entity
Predicate hasPort P35 FINISHED
Object 浦戸港
浦戸港は、現在の高知県高知市に位置し、古くから土佐国の海上交通と交易の拠点として栄えた港です。
E2144122 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: 浦戸港 | Statement: [土佐国, hasPort, 浦戸港]
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: 浦戸港
Triple: [土佐国, hasPort, 浦戸港]
Generated description
浦戸港は、現在の高知県高知市に位置し、古くから土佐国の海上交通と交易の拠点として栄えた港です。

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_69f76df92f108190817222e520e22268 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7966532a88190ba03c9c04b965bd6 completed May 3, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a384a264188819082a43acc3c23b01b completed June 21, 2026, 8:31 p.m.
NEDg Description generation batch_6a384b507d04819089e1652a77293a95 completed June 21, 2026, 8:36 p.m.
NED2 Entity disambiguation (via description) batch_6a384bc4f5fc8190a2e28576b9919d9e completed June 21, 2026, 8:38 p.m.
Created at: May 3, 2026, 4:04 p.m.