Triple

T19356497
Position Surface form Disambiguated ID Type / Status
Subject Midelt Province E484160 entity
Predicate hasSettlement P1068 FINISHED
Object Zaida
Zaida is a small town located in Midelt Province in central Morocco, known as a roadside stop between the Middle and High Atlas mountains.
 E1372382 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: Zaida | Statement: [Midelt Province, hasSettlement, Zaida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zaida
Context triple: [Midelt Province, hasSettlement, Zaida]
  • A. Zoraïde
    Zoraïde is the beautiful and tragic mixed-race heroine at the center of Kate Chopin’s short story "La Belle Zoraïde."
  • B. Tirza
    Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
  • C. Rosalinda
    Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
  • D. Rosabella
    Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
  • E. Zita
    Zita is a feminine given name of European origin, notably borne by the Austrian-American actress Zita Johann.
  • 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: Zaida
Triple: [Midelt Province, hasSettlement, Zaida]
Generated description
Zaida is a small town located in Midelt Province in central Morocco, known as a roadside stop between the Middle and High Atlas mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zaida
Target entity description: Zaida is a small town located in Midelt Province in central Morocco, known as a roadside stop between the Middle and High Atlas mountains.
  • A. Zoraïde
    Zoraïde is the beautiful and tragic mixed-race heroine at the center of Kate Chopin’s short story "La Belle Zoraïde."
  • B. Tirza
    Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
  • C. Rosalinda
    Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
  • D. Rosabella
    Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
  • E. Zita
    Zita is a feminine given name of European origin, notably borne by the Austrian-American actress Zita Johann.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619096c1081909ce2cbf7ae804e73 completed April 20, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07240bbb7c8190aeb04315b2896e73 completed May 15, 2026, 1:47 p.m.
NEDg Description generation batch_6a072550bf2881909ceb6b91b597762b completed May 15, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_6a07272e260c8190aa370620d576b830 completed May 15, 2026, 2:01 p.m.
Created at: April 10, 2026, 1:34 p.m.