Triple

T3525939
Position Surface form Disambiguated ID Type / Status
Subject Drava E74537 entity
Predicate hasTributary P415 FINISHED
Object Mura
The Mura is a Central European river that flows through Austria, Slovenia, and Croatia before joining the Drava River.
 E365637 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: Mura | Statement: [Drava, hasTributary, Mura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mura
Context triple: [Drava, hasTributary, Mura]
  • A. Machimura
    Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
  • B. Numata
    Numata is a city in Gunma Prefecture, Japan, known as a gateway to the Mount Akagi and Oze National Park areas.
  • C. Sonamura
    Sonamura is a town in the Indian state of Tripura, known as an administrative and commercial center near the India–Bangladesh border.
  • D. Kuwana
    Kuwana is a city in central Japan known historically as a post town on the Tōkaidō route and for its cultural sites and traditional festivals.
  • E. Yabu
    Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
  • 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: Mura
Triple: [Drava, hasTributary, Mura]
Generated description
The Mura is a Central European river that flows through Austria, Slovenia, and Croatia before joining the Drava River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mura
Target entity description: The Mura is a Central European river that flows through Austria, Slovenia, and Croatia before joining the Drava River.
  • A. Machimura
    Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
  • B. Numata
    Numata is a city in Gunma Prefecture, Japan, known as a gateway to the Mount Akagi and Oze National Park areas.
  • C. Sonamura
    Sonamura is a town in the Indian state of Tripura, known as an administrative and commercial center near the India–Bangladesh border.
  • D. Kuwana
    Kuwana is a city in central Japan known historically as a post town on the Tōkaidō route and for its cultural sites and traditional festivals.
  • E. Yabu
    Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6a8d0c819094d38b9c47fb67b4 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e8de2648190809369c3f0b7d85d completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37f9a6f608190a860b0daef8d9445 completed March 13, 2026, 3:08 a.m.
NED2 Entity disambiguation (via description) batch_69b3800990bc8190be99e007560d36cd completed March 13, 2026, 3:10 a.m.
Created at: March 8, 2026, 3:19 p.m.