Triple

T19932446
Position Surface form Disambiguated ID Type / Status
Subject Ouarzazate Solar Power Station E479087 entity
Predicate hasPart P35 FINISHED
Object Noor III
Noor III is a large concentrated solar power tower plant in Morocco that forms a key phase of the Ouarzazate Solar Power Station complex.
 E1404389 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: Noor III | Statement: [Ouarzazate Solar Power Station, hasPart, Noor III]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Noor III
Context triple: [Ouarzazate Solar Power Station, hasPart, Noor III]
  • A. Noor II
    Noor II is a large concentrated solar power plant in Morocco that forms a key phase of the Ouarzazate Solar Power Station complex.
  • B. Noor
    Noor is a science fiction novel by Nnedi Okorafor that blends Africanfuturism with themes of identity, technology, and survival in a near-future Nigeria.
  • C. Noor
    Noor is the American-born widow of King Hussein who served as Queen consort of Jordan and became known for her humanitarian and peace-building work.
  • D. Noor
    Noor is a given name of Arabic origin meaning "light," used for both males and females in various cultures.
  • E. Barakah
    Barakah was a 13th-century Mamluk sultan of Egypt and the son of Sultan Baybars, known for his brief and turbulent reign.
  • 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: Noor III
Triple: [Ouarzazate Solar Power Station, hasPart, Noor III]
Generated description
Noor III is a large concentrated solar power tower plant in Morocco that forms a key phase of the Ouarzazate Solar Power Station complex.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Noor III
Target entity description: Noor III is a large concentrated solar power tower plant in Morocco that forms a key phase of the Ouarzazate Solar Power Station complex.
  • A. Noor II
    Noor II is a large concentrated solar power plant in Morocco that forms a key phase of the Ouarzazate Solar Power Station complex.
  • B. Noor
    Noor is a science fiction novel by Nnedi Okorafor that blends Africanfuturism with themes of identity, technology, and survival in a near-future Nigeria.
  • C. Noor
    Noor is the American-born widow of King Hussein who served as Queen consort of Jordan and became known for her humanitarian and peace-building work.
  • D. Noor
    Noor is a given name of Arabic origin meaning "light," used for both males and females in various cultures.
  • E. Barakah
    Barakah was a 13th-century Mamluk sultan of Egypt and the son of Sultan Baybars, known for his brief and turbulent reign.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a14a2348190b41f8e320fe661d6 completed April 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fdc2ce74819084c08e9396bf0dd3 completed May 16, 2026, 5:16 a.m.
NEDg Description generation batch_6a07fe4573a48190919a59e466b34e35 completed May 16, 2026, 5:19 a.m.
NED2 Entity disambiguation (via description) batch_6a07fede18a08190a7a7a698d7598023 completed May 16, 2026, 5:21 a.m.
Created at: April 10, 2026, 1:53 p.m.