Triple

T9894077
Position Surface form Disambiguated ID Type / Status
Subject Toba E181524 entity
Predicate hasFerryConnectionTo P1831 FINISHED
Object Irago
Irago is a coastal area in Aichi Prefecture, Japan, known for its cape, beaches, and ferry links across Ise Bay.
 E828559 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: Irago | Statement: [Toba, hasFerryConnectionTo, Irago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Irago
Context triple: [Toba, hasFerryConnectionTo, Irago]
  • A. Taiho
    Taiho was a Japanese Imperial Navy aircraft carrier of World War II, notable as Japan’s first fully armored carrier and for its brief service before sinking in the Battle of the Philippine Sea.
  • B. Ōjin
    Ōjin is a semi-legendary early Japanese emperor traditionally regarded as the 15th ruler of Japan and later venerated as the Shinto war deity Hachiman.
  • C. Wasa
    Wasa is a Niger-Congo language spoken by the Wasa people, primarily in parts of Ghana.
  • D. Uskudama
    Uskudama was the ancient Thracian settlement that later developed into the city known as Adrianople (modern Edirne) in present-day Turkey.
  • E. Iri
    Iri is an alternative historical name for the Eurotas River, a major river in the Peloponnese region of Greece associated with ancient Sparta.
  • 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: Irago
Triple: [Toba, hasFerryConnectionTo, Irago]
Generated description
Irago is a coastal area in Aichi Prefecture, Japan, known for its cape, beaches, and ferry links across Ise Bay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Irago
Target entity description: Irago is a coastal area in Aichi Prefecture, Japan, known for its cape, beaches, and ferry links across Ise Bay.
  • A. Taiho
    Taiho was a Japanese Imperial Navy aircraft carrier of World War II, notable as Japan’s first fully armored carrier and for its brief service before sinking in the Battle of the Philippine Sea.
  • B. Ōjin
    Ōjin is a semi-legendary early Japanese emperor traditionally regarded as the 15th ruler of Japan and later venerated as the Shinto war deity Hachiman.
  • C. Wasa
    Wasa is a Niger-Congo language spoken by the Wasa people, primarily in parts of Ghana.
  • D. Uskudama
    Uskudama was the ancient Thracian settlement that later developed into the city known as Adrianople (modern Edirne) in present-day Turkey.
  • E. Iri
    Iri is an alternative historical name for the Eurotas River, a major river in the Peloponnese region of Greece associated with ancient Sparta.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb48271d48190b718c7f6b2fe315b completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb0d984c81908408f90f156624e5 completed April 5, 2026, 4:54 a.m.
NEDg Description generation batch_69d1edaceb608190a75e738a34c6d16f completed April 5, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69d1ee5b837c8190b294a78cebf141ae completed April 5, 2026, 5:08 a.m.
Created at: March 30, 2026, 8:39 p.m.