Triple

T38157756
Position Surface form Disambiguated ID Type / Status
Subject Hakubi Line E952931 entity
Predicate crosses P416 FINISHED
Object Takahashi River basin
The Takahashi River basin is a river drainage area in western Japan known for its mountainous terrain, agricultural valleys, and role as a key regional water system.
 E2283581 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: Takahashi River basin | Statement: [Hakubi Line, crosses, Takahashi River basin]
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: Takahashi River basin
Triple: [Hakubi Line, crosses, Takahashi River basin]
Generated description
The Takahashi River basin is a river drainage area in western Japan known for its mountainous terrain, agricultural valleys, and role as a key regional water system.

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_69f76f0b93c48190a117319ab3a9f282 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc46361ebc8190ad5922e2820823d4 completed May 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a425ebb349c8190afa3b773afb0acec completed June 29, 2026, 12:02 p.m.
NEDg Description generation batch_6a425fef6dc8819089496356993df227 completed June 29, 2026, 12:07 p.m.
NED2 Entity disambiguation (via description) batch_6a42616dc7608190850ef86a06aa08e8 completed June 29, 2026, 12:13 p.m.
Created at: May 3, 2026, 4:21 p.m.