Triple

T9319479
Position Surface form Disambiguated ID Type / Status
Subject Kumamoto Prefecture E224208 entity
Predicate contains P35 FINISHED
Object Tamana
Tamana is a city in Japan known for its hot spring resorts and agricultural products, located in the northern part of Kumamoto Prefecture on Kyushu Island.
 E791859 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: Tamana | Statement: [Kumamoto Prefecture, contains, Tamana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tamana
Context triple: [Kumamoto Prefecture, contains, Tamana]
  • A. Tamana
    Tamana is one of the southernmost coral atolls of Kiribati, known for its small size, traditional I-Kiribati culture, and remote Pacific Ocean location.
  • B. Tamahaq
    Tamahaq is a Berber (Amazigh) language traditionally spoken by the Tuareg people of the central Sahara.
  • C. Kura
    Kura is a major river in the South Caucasus that flows through Turkey, Georgia, and Azerbaijan before emptying into the Caspian Sea.
  • D. Kura
    Kura is a town and local government area in northern Nigeria’s Kano State, known primarily for its role in regional agriculture and trade.
  • E. Tamba
    Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
  • 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: Tamana
Triple: [Kumamoto Prefecture, contains, Tamana]
Generated description
Tamana is a city in Japan known for its hot spring resorts and agricultural products, located in the northern part of Kumamoto Prefecture on Kyushu Island.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tamana
Target entity description: Tamana is a city in Japan known for its hot spring resorts and agricultural products, located in the northern part of Kumamoto Prefecture on Kyushu Island.
  • A. Tamana
    Tamana is one of the southernmost coral atolls of Kiribati, known for its small size, traditional I-Kiribati culture, and remote Pacific Ocean location.
  • B. Tamahaq
    Tamahaq is a Berber (Amazigh) language traditionally spoken by the Tuareg people of the central Sahara.
  • C. Kura
    Kura is a town and local government area in northern Nigeria’s Kano State, known primarily for its role in regional agriculture and trade.
  • D. Kura
    Kura is a major river in the South Caucasus that flows through Turkey, Georgia, and Azerbaijan before emptying into the Caspian Sea.
  • E. Tamba
    Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358c7d348190a10fd8670d7756f5 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7c1fc848190bbb3ef6a1ed7a7d2 completed April 4, 2026, 8:11 a.m.
NEDg Description generation batch_69d0ca049fdc819091e101d8cdcfb7e8 completed April 4, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d0cc6239108190b921eface5cdd543 completed April 4, 2026, 8:31 a.m.
Created at: March 30, 2026, 7:38 p.m.