Triple

T9486687
Position Surface form Disambiguated ID Type / Status
Subject Trans-Saharan trade routes E228779 entity
Predicate majorTerminus P388 FINISHED
Object Taghaza
Taghaza was a historic Saharan salt-mining settlement in present-day Mali that served as a key hub in the medieval trans-Saharan trade network.
 E802237 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: Taghaza | Statement: [Trans-Saharan trade routes, majorTerminus, Taghaza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taghaza
Context triple: [Trans-Saharan trade routes, majorTerminus, Taghaza]
  • A. Taghmon
    Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
  • B. Ghogha
    Ghogha is a coastal town in Gujarat, India, known as a historic port settlement near Bhavnagar on the Gulf of Khambhat.
  • C. Tazoult
    Tazoult is a town in northeastern Algeria known for its historical significance and proximity to the ancient Roman site of Lambaesis.
  • D. Gharaunda
    Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
  • E. Boghni
    Boghni is a town and commune in northern Algeria’s Kabylie region, known for its Berber (Amazigh) cultural heritage and mountainous surroundings.
  • 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: Taghaza
Triple: [Trans-Saharan trade routes, majorTerminus, Taghaza]
Generated description
Taghaza was a historic Saharan salt-mining settlement in present-day Mali that served as a key hub in the medieval trans-Saharan trade network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taghaza
Target entity description: Taghaza was a historic Saharan salt-mining settlement in present-day Mali that served as a key hub in the medieval trans-Saharan trade network.
  • A. Taghmon
    Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
  • B. Ghogha
    Ghogha is a coastal town in Gujarat, India, known as a historic port settlement near Bhavnagar on the Gulf of Khambhat.
  • C. Tazoult
    Tazoult is a town in northeastern Algeria known for its historical significance and proximity to the ancient Roman site of Lambaesis.
  • D. Gharaunda
    Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
  • E. Boghni
    Boghni is a town and commune in northern Algeria’s Kabylie region, known for its Berber (Amazigh) cultural heritage and mountainous surroundings.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd8051303881909566126a2688e41c completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d1326b8819084c6d9490b7a96dc completed April 4, 2026, 3:24 p.m.
NEDg Description generation batch_69d12df73e3c819095f69e2b61989bb1 completed April 4, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69d12e6ed8988190bd1f4b6881db5e63 completed April 4, 2026, 3:29 p.m.
Created at: March 30, 2026, 7:55 p.m.