Triple

T4959283
Position Surface form Disambiguated ID Type / Status
Subject Souss-Massa E111363 entity
Predicate containsCity P294 FINISHED
Object Imi n’Tanout
Imi n’Tanout is a small town in southwestern Morocco known for its traditional Berber culture and its location in the Souss-Massa region.
 E482453 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: Imi n’Tanout | Statement: [Souss-Massa, containsCity, Imi n’Tanout]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Imi n’Tanout
Context triple: [Souss-Massa, containsCity, Imi n’Tanout]
  • A. Tessalit
    Tessalit is a remote desert town in northern Mali that serves as a key Tuareg cultural center and strategic crossroads in the Adrar des Ifoghas region.
  • B. Maoutia
    Maoutia is a small genus of flowering plants in the nettle family Urticaceae, native to parts of Asia and the Pacific.
  • C. Téboursouk
    Téboursouk is a town in northern Tunisia known as a gateway to the nearby ancient Roman ruins of Dougga.
  • D. Bir el Gubi
    Bir el Gubi was a strategically important desert battlefield in Libya during World War II, known for significant clashes between British Commonwealth and Italian-German forces.
  • E. Beni Khiar
    Beni Khiar is a coastal town in northeastern Tunisia known for its beaches, agriculture, and role as a local commercial center.
  • 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: Imi n’Tanout
Triple: [Souss-Massa, containsCity, Imi n’Tanout]
Generated description
Imi n’Tanout is a small town in southwestern Morocco known for its traditional Berber culture and its location in the Souss-Massa region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Imi n’Tanout
Target entity description: Imi n’Tanout is a small town in southwestern Morocco known for its traditional Berber culture and its location in the Souss-Massa region.
  • A. Tessalit
    Tessalit is a remote desert town in northern Mali that serves as a key Tuareg cultural center and strategic crossroads in the Adrar des Ifoghas region.
  • B. Maoutia
    Maoutia is a small genus of flowering plants in the nettle family Urticaceae, native to parts of Asia and the Pacific.
  • C. Téboursouk
    Téboursouk is a town in northern Tunisia known as a gateway to the nearby ancient Roman ruins of Dougga.
  • D. Bir el Gubi
    Bir el Gubi was a strategically important desert battlefield in Libya during World War II, known for significant clashes between British Commonwealth and Italian-German forces.
  • E. Beni Khiar
    Beni Khiar is a coastal town in northeastern Tunisia known for its beaches, agriculture, and role as a local commercial center.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71d957cc8190b82fdd1ca61924bf completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81e4ccc4819090223633fdb04eee completed March 21, 2026, 11:32 a.m.
NEDg Description generation batch_69be83c923e08190848def2824a268b8 completed March 21, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69be84d36c74819097a88f29ef409d20 completed March 21, 2026, 11:45 a.m.
Created at: March 20, 2026, 1:32 p.m.