Triple

T19291430
Position Surface form Disambiguated ID Type / Status
Subject Oulad Teima E482449 entity
Predicate hasAlternativeName P39 FINISHED
Object Houara
Houara is an alternative name for Oulad Teima, a town in the Souss-Massa region of southwestern Morocco known for its agricultural activity and proximity to Agadir.
E1369546 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: Houara | Statement: [Oulad Teima, hasAlternativeName, Houara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Houara
Context triple: [Oulad Teima, hasAlternativeName, Houara]
  • A. Makouda
    Makouda is a town and commune located in northern Algeria within the Kabylie region.
  • B. Oussouye
    Oussouye is a town in southern Senegal’s Casamance region, known for its Jola culture and as a center of local traditions and languages.
  • C. Youssoufia
    Youssoufia is a Moroccan city known for its phosphate mining industry and its location within the Marrakesh-Safi region.
  • D. Gouédic
    Gouédic is a small river in the Côtes-d'Armor department of Brittany in northwestern France.
  • E. Ngola
    Ngola was the royal title used by the rulers of the historical Kingdom of Ndongo in what is now Angola.
  • 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: Houara
Triple: [Oulad Teima, hasAlternativeName, Houara]
Generated description
Houara is an alternative name for Oulad Teima, a town in the Souss-Massa region of southwestern Morocco known for its agricultural activity and proximity to Agadir.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Houara
Target entity description: Houara is an alternative name for Oulad Teima, a town in the Souss-Massa region of southwestern Morocco known for its agricultural activity and proximity to Agadir.
  • A. Makouda
    Makouda is a town and commune located in northern Algeria within the Kabylie region.
  • B. Oussouye
    Oussouye is a town in southern Senegal’s Casamance region, known for its Jola culture and as a center of local traditions and languages.
  • C. Youssoufia
    Youssoufia is a Moroccan city known for its phosphate mining industry and its location within the Marrakesh-Safi region.
  • D. Gouédic
    Gouédic is a small river in the Côtes-d'Armor department of Brittany in northwestern France.
  • E. Ngola
    Ngola was the royal title used by the rulers of the historical Kingdom of Ndongo in what is now Angola.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc05c9dc8190846b279f82ae0fa3 completed April 20, 2026, 10:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a07144f4dec8190a90234763f4586f6 completed May 15, 2026, 12:40 p.m.
NEDg Description generation batch_6a07187a53a08190b707b0e55dcdcb44 completed May 15, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0718cd7e9881909b39b362cc8bfcd8 completed May 15, 2026, 12:59 p.m.
Created at: April 10, 2026, 1:31 p.m.