Triple
T19790664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temeke |
E475399
|
entity |
| Predicate | hasIndustrialZone |
P13026
|
FINISHED |
| Object | Kurasini industrial area |
—
|
NE NERFINISHED |
How this triple was built (3 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: Kurasini industrial area | Statement: [Temeke, hasIndustrialZone, Kurasini industrial area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurasini industrial area Context triple: [Temeke, hasIndustrialZone, Kurasini industrial area]
-
A.
Sikka industrial area
Sikka industrial area is a major industrial hub in Gujarat, India, known for its petroleum refineries and port-based industries along the Gulf of Kutch.
-
B.
Serasa Industrial Area
Serasa Industrial Area is a key industrial and commercial hub in Brunei’s Brunei-Muara District, hosting various manufacturing, logistics, and port-related facilities.
-
C.
Akurdi industrial area
Akurdi industrial area is a manufacturing and industrial hub within the city of Pimpri-Chinchwad in Maharashtra, India, known for its concentration of factories and industrial units.
-
D.
Chakan industrial area
Chakan industrial area is a major automotive and manufacturing hub in Maharashtra, India, hosting numerous multinational companies and large-scale industrial facilities.
-
E.
Almonda industrial area
Almonda industrial area is a key industrial zone in Torres Novas, Portugal, hosting various manufacturing and logistics facilities that support the region’s economy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kurasini industrial area Target entity description: Kurasini industrial area is a major industrial and logistics hub in Dar es Salaam, Tanzania, known for its manufacturing facilities and proximity to the port.
-
A.
Sikka industrial area
Sikka industrial area is a major industrial hub in Gujarat, India, known for its petroleum refineries and port-based industries along the Gulf of Kutch.
-
B.
Serasa Industrial Area
Serasa Industrial Area is a key industrial and commercial hub in Brunei’s Brunei-Muara District, hosting various manufacturing, logistics, and port-related facilities.
-
C.
Akurdi industrial area
Akurdi industrial area is a manufacturing and industrial hub within the city of Pimpri-Chinchwad in Maharashtra, India, known for its concentration of factories and industrial units.
-
D.
Chakan industrial area
Chakan industrial area is a major automotive and manufacturing hub in Maharashtra, India, hosting numerous multinational companies and large-scale industrial facilities.
-
E.
Almonda industrial area
Almonda industrial area is a key industrial zone in Torres Novas, Portugal, hosting various manufacturing and logistics facilities that support the region’s economy.
- F. None of above. chosen
Provenance (2 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c217bc819092c517b27ca22087 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.