Triple

T9365990
Position Surface form Disambiguated ID Type / Status
Subject Batna Province E225399 entity
Predicate hasCity P316 FINISHED
Object Tazoult
Tazoult is a town in northeastern Algeria known for its historical significance and proximity to the ancient Roman site of Lambaesis.
 E795345 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: Tazoult | Statement: [Batna Province, hasCity, Tazoult]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tazoult
Context triple: [Batna Province, hasCity, Tazoult]
  • A. Agouza
    Agouza is a central district of Giza, Egypt, known for its Nile-side location, dense urban fabric, and proximity to downtown Cairo.
  • B. Azeffoun
    Azeffoun is a coastal town and commune in northern Algeria, located in the Kabylie region within Tizi Ouzou Province.
  • C. Jahra
    Jahra is a major town and administrative center in western Kuwait, known historically as an agricultural area and now as a growing suburban and commercial hub.
  • D. Mzab-Wargla
    Mzab-Wargla is a Zenati Berber (Tamazight) language variety spoken primarily in the Mzab and Ouargla regions of Algeria.
  • E. Tahaggart
    Tahaggart is a regional variety of the Tuareg Berber language Tamasheq, spoken by Tuareg communities in parts of the central Sahara.
  • 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: Tazoult
Triple: [Batna Province, hasCity, Tazoult]
Generated description
Tazoult is a town in northeastern Algeria known for its historical significance and proximity to the ancient Roman site of Lambaesis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tazoult
Target entity description: Tazoult is a town in northeastern Algeria known for its historical significance and proximity to the ancient Roman site of Lambaesis.
  • A. Agouza
    Agouza is a central district of Giza, Egypt, known for its Nile-side location, dense urban fabric, and proximity to downtown Cairo.
  • B. Azeffoun
    Azeffoun is a coastal town and commune in northern Algeria, located in the Kabylie region within Tizi Ouzou Province.
  • C. Jahra
    Jahra is a major town and administrative center in western Kuwait, known historically as an agricultural area and now as a growing suburban and commercial hub.
  • D. Mzab-Wargla
    Mzab-Wargla is a Zenati Berber (Tamazight) language variety spoken primarily in the Mzab and Ouargla regions of Algeria.
  • E. Tahaggart
    Tahaggart is a regional variety of the Tuareg Berber language Tamasheq, spoken by Tuareg communities in parts of the central Sahara.
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5041261c81909edab3b7fcd1fe22 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3fbe7d481909712531d907b77d8 completed April 4, 2026, 11:20 a.m.
NEDg Description generation batch_69d0f51f8ae88190a15d2e521449c8b5 completed April 4, 2026, 11:25 a.m.
NED2 Entity disambiguation (via description) batch_69d0f5d543a48190b9f25d4316664f04 completed April 4, 2026, 11:28 a.m.
Created at: March 30, 2026, 7:43 p.m.