Triple

T7134088
Position Surface form Disambiguated ID Type / Status
Subject Bouira Province E166260 entity
Predicate hasSettlement P1068 FINISHED
Object Saharidj
Saharidj is a town located in Bouira Province in northern Algeria.
 E643394 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: Saharidj | Statement: [Bouira Province, hasSettlement, Saharidj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saharidj
Context triple: [Bouira Province, hasSettlement, Saharidj]
  • A. Sahariya
    Sahariya is an indigenous tribal community of central India, primarily found in Madhya Pradesh and Rajasthan, known for its distinct culture, language, and traditionally forest-based livelihood.
  • B. She'eb
    She'eb is a town in Eritrea located within the Northern Red Sea administrative region.
  • C. Hessa
    Hessa is an island in Norway that forms part of the coastal city of Ålesund, known for its scenic landscapes and maritime surroundings.
  • D. Sahra
    Sahra is a feminine given name, commonly considered a variant spelling of Sara or Sarah used in various cultures.
  • E. Safi
    Safi is a historic Moroccan port city on the Atlantic coast known for its fishing industry, ceramics, and Portuguese-era fortifications.
  • 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: Saharidj
Triple: [Bouira Province, hasSettlement, Saharidj]
Generated description
Saharidj is a town located in Bouira Province in northern Algeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saharidj
Target entity description: Saharidj is a town located in Bouira Province in northern Algeria.
  • A. Sahariya
    Sahariya is an indigenous tribal community of central India, primarily found in Madhya Pradesh and Rajasthan, known for its distinct culture, language, and traditionally forest-based livelihood.
  • B. She'eb
    She'eb is a town in Eritrea located within the Northern Red Sea administrative region.
  • C. Hessa
    Hessa is an island in Norway that forms part of the coastal city of Ålesund, known for its scenic landscapes and maritime surroundings.
  • D. Sahra
    Sahra is a feminine given name, commonly considered a variant spelling of Sara or Sarah used in various cultures.
  • E. Safi
    Safi is a historic Moroccan port city on the Atlantic coast known for its fishing industry, ceramics, and Portuguese-era fortifications.
  • 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e68f15bc8190a4d82b8ee388f497 completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a344fb4881908f6b6e33706e0192 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a3f2b51c81909f058149e9bd9f0a completed March 28, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_69c7a4a9e91881909df07f1c540f191e completed March 28, 2026, 9:51 a.m.
Created at: March 27, 2026, 2:45 p.m.