Triple

T6985296
Position Surface form Disambiguated ID Type / Status
Subject Tizi Ouzou Province E161945 entity
Predicate hasCity P316 FINISHED
Object Beni Zmenzer
Beni Zmenzer is a town and commune located in the mountainous Kabylie region of northern Algeria.
 E633345 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: Beni Zmenzer | Statement: [Tizi Ouzou Province, hasCity, Beni Zmenzer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beni Zmenzer
Context triple: [Tizi Ouzou Province, hasCity, Beni Zmenzer]
  • A. Zunka Bhakri
    Zunka Bhakri is a traditional Maharashtrian meal consisting of a spicy gram-flour-based dry curry (zunka) served with a rustic sorghum or millet flatbread (bhakri).
  • B. Matija
    Matija is a South Slavic given name, equivalent to the English name Matthew.
  • C. Damijan
    Damijan is a masculine given name, primarily used in Slavic countries, that is a variant of the name Damian.
  • D. Ilija
    Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • E. Kuzma
    Kuzma is a masculine given name of Slavic origin, historically borne by notable figures such as the Russian national hero Kuzma Minin.
  • 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: Beni Zmenzer
Triple: [Tizi Ouzou Province, hasCity, Beni Zmenzer]
Generated description
Beni Zmenzer is a town and commune located in the mountainous Kabylie region of northern Algeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beni Zmenzer
Target entity description: Beni Zmenzer is a town and commune located in the mountainous Kabylie region of northern Algeria.
  • A. Zunka Bhakri
    Zunka Bhakri is a traditional Maharashtrian meal consisting of a spicy gram-flour-based dry curry (zunka) served with a rustic sorghum or millet flatbread (bhakri).
  • B. Matija
    Matija is a South Slavic given name, equivalent to the English name Matthew.
  • C. Damijan
    Damijan is a masculine given name, primarily used in Slavic countries, that is a variant of the name Damian.
  • D. Ilija
    Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • E. Kuzma
    Kuzma is a masculine given name of Slavic origin, historically borne by notable figures such as the Russian national hero Kuzma Minin.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db91fbc881908c26b7b991995062 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761cb0f1c8190b22b1ad2cd1d7a57 completed March 28, 2026, 5:06 a.m.
NEDg Description generation batch_69c7630440508190a66f218fd912d732 completed March 28, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_69c7639747b88190b3429817d53c5703 completed March 28, 2026, 5:13 a.m.
Created at: March 27, 2026, 2:31 p.m.