Triple

T18573244
Position Surface form Disambiguated ID Type / Status
Subject Landes E453922 entity
Predicate contains P35 FINISHED
Object Mimizan
Mimizan is a seaside commune on France’s Atlantic coast, known for its sandy beaches, pine forests, and tourism within the Landes department.
 E1341037 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: Mimizan | Statement: [Landes, contains, Mimizan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mimizan
Context triple: [Landes, contains, Mimizan]
  • A. Kunisaki
    Kunisaki is a city located on the Kunisaki Peninsula in northeastern Ōita Prefecture on Japan’s Kyushu island, known for its historic temples and scenic rural landscapes.
  • B. Miyajima
    Miyajima is a famous Japanese island known for its iconic “floating” torii gate of Itsukushima Shrine and scenic views in the Seto Inland Sea.
  • C. Minnajima
    Minnajima is a small island located off the coast of Motobu in Okinawa, Japan, known for its scenic coastal environment and marine activities.
  • D. Matsushima
    Matsushima was a Japanese protected cruiser that served as a flagship of the Imperial Japanese Navy during the First Sino-Japanese War.
  • E. Kawasoe
    Kawasoe is a locality in Saga Prefecture, Japan, situated near Saga Airport and serving as part of the surrounding regional community.
  • 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: Mimizan
Triple: [Landes, contains, Mimizan]
Generated description
Mimizan is a seaside commune on France’s Atlantic coast, known for its sandy beaches, pine forests, and tourism within the Landes department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mimizan
Target entity description: Mimizan is a seaside commune on France’s Atlantic coast, known for its sandy beaches, pine forests, and tourism within the Landes department.
  • A. Kunisaki
    Kunisaki is a city located on the Kunisaki Peninsula in northeastern Ōita Prefecture on Japan’s Kyushu island, known for its historic temples and scenic rural landscapes.
  • B. Miyajima
    Miyajima is a famous Japanese island known for its iconic “floating” torii gate of Itsukushima Shrine and scenic views in the Seto Inland Sea.
  • C. Minnajima
    Minnajima is a small island located off the coast of Motobu in Okinawa, Japan, known for its scenic coastal environment and marine activities.
  • D. Matsushima
    Matsushima was a Japanese protected cruiser that served as a flagship of the Imperial Japanese Navy during the First Sino-Japanese War.
  • E. Kawasoe
    Kawasoe is a locality in Saga Prefecture, Japan, situated near Saga Airport and serving as part of the surrounding regional community.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543c7f63c81909b5d5764ffd20234 completed April 19, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a053d22ec688190b33d968e6a5328d2 completed May 14, 2026, 3:10 a.m.
NEDg Description generation batch_6a053ecdc0a08190b1ffae552e2e2c93 completed May 14, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_6a053f4095f4819080c977d42596e2bc completed May 14, 2026, 3:19 a.m.
Created at: April 10, 2026, 11:43 a.m.