Triple

T24032900
Position Surface form Disambiguated ID Type / Status
Subject 中央即応集団 E595151 entity
Predicate hasUnit P35 FINISHED
Object 中央即応連隊
中央即応連隊は、日本の陸上自衛隊に属し、テロ・ゲリラ対処や特殊作戦などの緊急事態に即応するために編成された専門部隊である。
 E1612354 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: 中央即応連隊 | Statement: [中央即応集団, hasUnit, 中央即応連隊]
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: 中央即応連隊
Triple: [中央即応集団, hasUnit, 中央即応連隊]
Generated description
中央即応連隊は、日本の陸上自衛隊に属し、テロ・ゲリラ対処や特殊作戦などの緊急事態に即応するために編成された専門部隊である。

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_69e288bf45f08190a1b6ed8cd0b9e86b completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d771b2ac8190a4463557c29f606e completed April 29, 2026, 10:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7eadfffc8190b971898f5ab8a6a1 completed May 21, 2026, 9:52 p.m.
NEDg Description generation batch_6a0f7f4ef5e88190b53cdf7135b28cac completed May 21, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f7fe7f7248190a377212661dd56b1 completed May 21, 2026, 9:58 p.m.
Created at: April 17, 2026, 9:55 p.m.