Triple
T19932445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ouarzazate Solar Power Station |
E479087
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
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.
|
E1402539
|
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 II | Statement: [Ouarzazate Solar Power Station, hasPart, Noor II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noor II Context triple: [Ouarzazate Solar Power Station, hasPart, Noor II]
-
A.
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.
-
B.
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.
-
C.
Noor
Noor is a given name of Arabic origin meaning "light," used for both males and females in various cultures.
-
D.
Barakah
Barakah was a 13th-century Mamluk sultan of Egypt and the son of Sultan Baybars, known for his brief and turbulent reign.
-
E.
Samaheej
Samaheej is a village on Bahrain Island known historically for its ancient Christian sites and traditional Bahraini community.
- 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 II Triple: [Ouarzazate Solar Power Station, hasPart, Noor II]
Generated description
Noor II is a large concentrated solar power 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 II Target entity description: Noor II is a large concentrated solar power plant in Morocco that forms a key phase of the Ouarzazate Solar Power Station complex.
-
A.
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.
-
B.
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.
-
C.
Noor
Noor is a given name of Arabic origin meaning "light," used for both males and females in various cultures.
-
D.
Barakah
Barakah was a 13th-century Mamluk sultan of Egypt and the son of Sultan Baybars, known for his brief and turbulent reign.
-
E.
Samaheej
Samaheej is a village on Bahrain Island known historically for its ancient Christian sites and traditional Bahraini community.
- 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_6a07f6e639788190a63c52cf284dbe99 |
completed | May 16, 2026, 4:47 a.m. |
| NEDg | Description generation | batch_6a07f7d235688190971c9c0063669470 |
completed | May 16, 2026, 4:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f891e5c081909e30e9ce7c271359 |
completed | May 16, 2026, 4:54 a.m. |
Created at: April 10, 2026, 1:53 p.m.