Triple

T27247866
Position Surface form Disambiguated ID Type / Status
Subject Hashizume-mon Gate E687397 entity
Predicate hasJapaneseName P9882 FINISHED
Object 橋爪門
橋爪門は、金沢城に位置する歴史的な城門で、加賀藩前田家の城郭構えを伝える重要な建造物として知られている。
 E1764274 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: 橋爪門 | Statement: [Hashizume-mon Gate, hasJapaneseName, 橋爪門]
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: 橋爪門
Triple: [Hashizume-mon Gate, hasJapaneseName, 橋爪門]
Generated description
橋爪門は、金沢城に位置する歴史的な城門で、加賀藩前田家の城郭構えを伝える重要な建造物として知られている。

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_69ef355547408190b5ca0d777c65040a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f626b2ba8c819090a9eb67cf9cb701 completed May 2, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12627dbdc881909991844b8c775c88 completed May 24, 2026, 2:29 a.m.
NEDg Description generation batch_6a1268eb06cc8190a9bcb4397775c34c completed May 24, 2026, 2:56 a.m.
NED2 Entity disambiguation (via description) batch_6a1269853d3481909e18f00729a01d65 completed May 24, 2026, 2:59 a.m.
Created at: April 27, 2026, 10:43 a.m.