Triple

T6985230
Position Surface form Disambiguated ID Type / Status
Subject Kabylie E161944 entity
Predicate hasMajorCity P316 FINISHED
Object Azazga
Azazga is a significant town in northern Algeria’s Kabylie region, known as a local cultural and economic center for the Amazigh (Berber) population.
E633332 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: Azazga | Statement: [Kabylie, hasMajorCity, Azazga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azazga
Context triple: [Kabylie, hasMajorCity, Azazga]
  • A. Argobba
    Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
  • B. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • C. Azarethes
    Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
  • D. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • E. Yaghuth
    Yaghuth is a pre-Islamic Arabian deity, traditionally regarded as one of the ancient gods worshipped by Arab tribes before the advent of Islam.
  • 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: Azazga
Triple: [Kabylie, hasMajorCity, Azazga]
Generated description
Azazga is a significant town in northern Algeria’s Kabylie region, known as a local cultural and economic center for the Amazigh (Berber) population.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Azazga
Target entity description: Azazga is a significant town in northern Algeria’s Kabylie region, known as a local cultural and economic center for the Amazigh (Berber) population.
  • A. Argobba
    Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
  • B. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • C. Azarethes
    Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
  • D. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • E. Yaghuth
    Yaghuth is a pre-Islamic Arabian deity, traditionally regarded as one of the ancient gods worshipped by Arab tribes before the advent of Islam.
  • 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.