Triple

T8529225
Position Surface form Disambiguated ID Type / Status
Subject Tipaza Province E201899 entity
Predicate contains P35 FINISHED
Object Fouka
Fouka is a coastal town and commune in northern Algeria, situated within Tipaza Province along the Mediterranean Sea.
E741658 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: Fouka | Statement: [Tipaza Province, contains, Fouka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fouka
Context triple: [Tipaza Province, contains, Fouka]
  • A. Fuchida
    Fuchida is a Japanese surname borne by various individuals, including figures in fields such as aviation, sports, and the arts.
  • B. Foya
    Foya is a town in northwestern Liberia that serves as an important local center for trade and administration in Lofa County.
  • C. Fumei
    Fumei is a given name most notably borne by Mao Fumei, the first wife of Chinese leader Chiang Kai-shek.
  • D. Matoury
    Matoury is a commune in French Guiana located near Cayenne, known for its role as a suburban and economic hub that includes part of the area surrounding the Guiana Space Centre.
  • E. Hōshō
    Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
  • 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: Fouka
Triple: [Tipaza Province, contains, Fouka]
Generated description
Fouka is a coastal town and commune in northern Algeria, situated within Tipaza Province along the Mediterranean Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fouka
Target entity description: Fouka is a coastal town and commune in northern Algeria, situated within Tipaza Province along the Mediterranean Sea.
  • A. Fuchida
    Fuchida is a Japanese surname borne by various individuals, including figures in fields such as aviation, sports, and the arts.
  • B. Foya
    Foya is a town in northwestern Liberia that serves as an important local center for trade and administration in Lofa County.
  • C. Fumei
    Fumei is a given name most notably borne by Mao Fumei, the first wife of Chinese leader Chiang Kai-shek.
  • D. Matoury
    Matoury is a commune in French Guiana located near Cayenne, known for its role as a suburban and economic hub that includes part of the area surrounding the Guiana Space Centre.
  • E. Hōshō
    Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe67409f08190b20d13d26e9a362c completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d5e5b58819095c1c915dfe27b52 completed April 2, 2026, 1:21 p.m.
NEDg Description generation batch_69ce6ec1e74081908fc235ffd13ef301 completed April 2, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fe13a00819095f5bec408435426 completed April 2, 2026, 1:32 p.m.
Created at: March 30, 2026, 6:17 p.m.