Triple

T8529229
Position Surface form Disambiguated ID Type / Status
Subject Tipaza Province E201899 entity
Predicate contains P35 FINISHED
Object Gouraya
Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
 E743137 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: Gouraya | Statement: [Tipaza Province, contains, Gouraya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gouraya
Context triple: [Tipaza Province, contains, Gouraya]
  • A. Girga
    Girga is an ancient town in Upper Egypt, historically significant as a regional center along the Nile.
  • B. Taroa
    Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
  • C. Chiloda
    Chiloda is a town in the Indian state of Gujarat, situated within the Gandhinagar region and functioning as a local residential and commercial hub.
  • D. Gour
    Gour is an ancient ruined city in West Bengal, India, known for its rich medieval history and numerous Islamic and pre-Islamic architectural remains.
  • E. Mawanella
    Mawanella is a town in central Sri Lanka known as a key transit point on the Colombo–Kandy road and for its surrounding rubber and tea plantations.
  • 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: Gouraya
Triple: [Tipaza Province, contains, Gouraya]
Generated description
Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gouraya
Target entity description: Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
  • A. Girga
    Girga is an ancient town in Upper Egypt, historically significant as a regional center along the Nile.
  • B. Taroa
    Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
  • C. Chiloda
    Chiloda is a town in the Indian state of Gujarat, situated within the Gandhinagar region and functioning as a local residential and commercial hub.
  • D. Gour
    Gour is an ancient ruined city in West Bengal, India, known for its rich medieval history and numerous Islamic and pre-Islamic architectural remains.
  • E. Mawanella
    Mawanella is a town in central Sri Lanka known as a key transit point on the Colombo–Kandy road and for its surrounding rubber and tea plantations.
  • 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_69ce890333d08190b510d970e6d6fee5 completed April 2, 2026, 3:19 p.m.
NEDg Description generation batch_69ce8a9ba0448190ae7637f24b8a8032 completed April 2, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69ce8bda33548190a8f6985a48d65a39 completed April 2, 2026, 3:31 p.m.
Created at: March 30, 2026, 6:17 p.m.