Triple

T27378351
Position Surface form Disambiguated ID Type / Status
Subject Inuyama E691140 entity
Predicate hasTransportation P105 FINISHED
Object Meitetsu Hiromi Line
The Meitetsu Hiromi Line is a regional railway line in central Japan operated by Nagoya Railroad (Meitetsu), connecting Inuyama in Aichi Prefecture with surrounding areas in Gifu Prefecture.
E2293505 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: Meitetsu Hiromi Line | Statement: [Inuyama, hasTransportation, Meitetsu Hiromi Line]
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: Meitetsu Hiromi Line
Triple: [Inuyama, hasTransportation, Meitetsu Hiromi Line]
Generated description
The Meitetsu Hiromi Line is a regional railway line in central Japan operated by Nagoya Railroad (Meitetsu), connecting Inuyama in Aichi Prefecture with surrounding areas in Gifu Prefecture.

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_69ef52022538819081f873d0c84a6dd6 completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62c84610481909e65995538e8faea completed May 2, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7ab5a1b7c08190a150db6a3b889d79 completed Aug. 11, 2026, 5:39 a.m.
NEDg Description generation batch_6a7ab5f5e69881909d1d2ab55acde589 completed Aug. 11, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_6a7ab629689081908901ad65a776f819 completed Aug. 11, 2026, 5:42 a.m.
Created at: April 27, 2026, 12:21 p.m.