Triple

T9975871
Position Surface form Disambiguated ID Type / Status
Subject Tajima region E196325 entity
Predicate hasPart P35 FINISHED
Object Asago E205398 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: Asago | Statement: [Tajima region, hasPart, Asago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asago
Context triple: [Tajima region, hasPart, Asago]
  • A. Asago chosen
    Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
  • B. Yamakoshi
    Yamakoshi is a recurring character from the Disney XD sitcom "Pair of Kings," known as a mystical fish with prophetic abilities and a quirky, comedic presence.
  • C. Ōnamuchi
    Ōnamuchi is another name for Ōkuninushi, a major Shinto deity associated with nation-building, medicine, and good fortune in Japanese mythology.
  • D. Sakae
    Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
  • E. Mikasuki
    Mikasuki is a Native American language of the Muskogean family, traditionally spoken by the Miccosukee and some Seminole people in the southeastern United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb84b47308190aa2f94fa7320cdc3 completed April 2, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69de21a949508190ad16b061ead5ed24 completed April 14, 2026, 11:14 a.m.
Created at: March 30, 2026, 8:48 p.m.