Triple

T28158965
Position Surface form Disambiguated ID Type / Status
Subject Yahatahigashi-ku E714834 entity
Predicate locatedIn P40 FINISHED
Object Honshu–Kyushu industrial region
The Honshu–Kyushu industrial region is a major Japanese industrial belt spanning parts of Honshu and Kyushu, known for its heavy industry, steel production, and port-based manufacturing centers.
E1843124 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: Honshu–Kyushu industrial region | Statement: [Yahatahigashi-ku, locatedIn, Honshu–Kyushu industrial region]
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: Honshu–Kyushu industrial region
Triple: [Yahatahigashi-ku, locatedIn, Honshu–Kyushu industrial region]
Generated description
The Honshu–Kyushu industrial region is a major Japanese industrial belt spanning parts of Honshu and Kyushu, known for its heavy industry, steel production, and port-based manufacturing centers.

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_69efd6b156448190bfa15958208395c3 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f641e9eac08190976874fc569b4a63 completed May 2, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24ec1913d881908d6d93be593e3703 completed June 7, 2026, 3:57 a.m.
NEDg Description generation batch_6a24f066b990819095925ff855a3370e completed June 7, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_6a24f4d232f08190808f832d0536033c completed June 7, 2026, 4:34 a.m.
Created at: April 27, 2026, 10:05 p.m.