Triple

T19509885
Position Surface form Disambiguated ID Type / Status
Subject Taroudant Province E488119 entity
Predicate contains P35 FINISHED
Object El Guerdane
El Guerdane is a town in southern Morocco’s Souss-Massa region, known primarily for its agricultural activity, especially citrus and olive production.
 E1399303 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: El Guerdane | Statement: [Taroudant Province, contains, El Guerdane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: El Guerdane
Context triple: [Taroudant Province, contains, El Guerdane]
  • A. Rothière
    Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
  • B. Targnon
    Targnon is a small village in the municipality of Stoumont in the province of Liège, Belgium.
  • C. Saussignac
    Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
  • D. Badaroux
    Badaroux is a small commune in the Lozère department of southern France, situated within the administrative area of the arrondissement of Mende.
  • E. Draguignan
    Draguignan is a town in southeastern France’s Var department, known as a former prefecture and gateway to the Provence region.
  • 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: El Guerdane
Triple: [Taroudant Province, contains, El Guerdane]
Generated description
El Guerdane is a town in southern Morocco’s Souss-Massa region, known primarily for its agricultural activity, especially citrus and olive production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: El Guerdane
Target entity description: El Guerdane is a town in southern Morocco’s Souss-Massa region, known primarily for its agricultural activity, especially citrus and olive production.
  • A. Rothière
    Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
  • B. Targnon
    Targnon is a small village in the municipality of Stoumont in the province of Liège, Belgium.
  • C. Saussignac
    Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
  • D. Badaroux
    Badaroux is a small commune in the Lozère department of southern France, situated within the administrative area of the arrondissement of Mende.
  • E. Draguignan
    Draguignan is a town in southeastern France’s Var department, known as a former prefecture and gateway to the Provence region.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6351547e481909a875bba40651094 completed April 20, 2026, 2:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07dbaca6608190b90f031529133a95 completed May 16, 2026, 2:51 a.m.
NEDg Description generation batch_6a07dc950cd8819084a9184a20a15b85 completed May 16, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_6a07dd016aa88190890d6272e51c30e2 completed May 16, 2026, 2:57 a.m.
Created at: April 10, 2026, 1:40 p.m.