Triple

T13206883
Position Surface form Disambiguated ID Type / Status
Subject Mogami River E314387 entity
Predicate flowsThrough P225 FINISHED
Object Nagai
Nagai is a city in Yamagata Prefecture, Japan, known for its scenic riverside setting and surrounding mountainous countryside.
E1269518 NE FINISHED

How this triple was built (4 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: Nagai | Statement: [Mogami River, flowsThrough, Nagai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagai
Context triple: [Mogami River, flowsThrough, Nagai]
  • A. Nagahori
    Nagahori is a district in Osaka, Japan, known primarily as an urban area served by the Osaka Metro Nagahori Tsurumi-ryokuchi Line.
  • B. Nōgata
    Nōgata is a city in western Japan located in Fukuoka Prefecture on the island of Kyushu.
  • C. Nakata
    Nakata is a Japanese surname most famously associated with former professional footballer Hidetoshi Nakata, one of Japan’s best-known international players.
  • D. Nakatane
    Nakatane is a town on Tanegashima Island in Kagoshima Prefecture, Japan, known for its role in local administration and its proximity to the island’s space-related facilities and coastal scenery.
  • E. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Nagai
Triple: [Mogami River, flowsThrough, Nagai]
Generated description
Nagai is a city in Yamagata Prefecture, Japan, known for its scenic riverside setting and surrounding mountainous countryside.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nagai
Target entity description: Nagai is a city in Yamagata Prefecture, Japan, known for its scenic riverside setting and surrounding mountainous countryside.
  • A. Nagahori
    Nagahori is a district in Osaka, Japan, known primarily as an urban area served by the Osaka Metro Nagahori Tsurumi-ryokuchi Line.
  • B. Nōgata
    Nōgata is a city in western Japan located in Fukuoka Prefecture on the island of Kyushu.
  • C. Nakata
    Nakata is a Japanese surname most famously associated with former professional footballer Hidetoshi Nakata, one of Japan’s best-known international players.
  • D. Nakatane
    Nakatane is a town on Tanegashima Island in Kagoshima Prefecture, Japan, known for its role in local administration and its proximity to the island’s space-related facilities and coastal scenery.
  • E. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • F. None of above. chosen

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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9cb7ac819095cff8699993c419 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01afd6121081908345fe7dd941c780 completed May 11, 2026, 10:30 a.m.
NEDg Description generation batch_6a01b259ba9c8190878946190ff21e7d completed May 11, 2026, 10:41 a.m.
NED2 Entity disambiguation (via description) batch_6a01b2cf4e608190ae1d40ee5b7cc427 completed May 11, 2026, 10:43 a.m.
Created at: April 9, 2026, 9:17 p.m.