Triple
T16313139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katanga Mining Limited |
E396106
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object |
Kamoto Concentrator
Kamoto Concentrator is a major copper and cobalt ore processing facility in the Katanga region of the Democratic Republic of the Congo.
|
E1206419
|
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: Kamoto Concentrator | Statement: [Katanga Mining Limited, operates, Kamoto Concentrator]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamoto Concentrator Context triple: [Katanga Mining Limited, operates, Kamoto Concentrator]
-
A.
Shubunka
Shubunka is a ruthless small-time racketeer and the central antihero of the 1947 film noir "The Gangster."
-
B.
Ebara
Ebara is a district within Tokyo’s Shinagawa ward, known as a primarily residential area with local shopping streets and traditional neighborhoods.
-
C.
Oedo
Oedo is a small, scenic South Korean island famous for its botanical garden and dramatic coastal landscapes, located off the coast of Geoje.
-
D.
Mibuchi
Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
-
E.
Mizumoto
Mizumoto is a neighborhood in Tokyo’s Katsushika ward, known for its large riverside Mizumoto Park and relatively green, residential environment.
- 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: Kamoto Concentrator Triple: [Katanga Mining Limited, operates, Kamoto Concentrator]
Generated description
Kamoto Concentrator is a major copper and cobalt ore processing facility in the Katanga region of the Democratic Republic of the Congo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kamoto Concentrator Target entity description: Kamoto Concentrator is a major copper and cobalt ore processing facility in the Katanga region of the Democratic Republic of the Congo.
-
A.
Shubunka
Shubunka is a ruthless small-time racketeer and the central antihero of the 1947 film noir "The Gangster."
-
B.
Ebara
Ebara is a district within Tokyo’s Shinagawa ward, known as a primarily residential area with local shopping streets and traditional neighborhoods.
-
C.
Oedo
Oedo is a small, scenic South Korean island famous for its botanical garden and dramatic coastal landscapes, located off the coast of Geoje.
-
D.
Mibuchi
Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
-
E.
Mizumoto
Mizumoto is a neighborhood in Tokyo’s Katsushika ward, known for its large riverside Mizumoto Park and relatively green, residential environment.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288dc30f48190b508220429b66e92 |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001fa6ceb48190b937a15b94fd3cfa |
completed | May 10, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a00219696dc8190bcce66c1eeb07561 |
completed | May 10, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002221fe7c819083c8ede5e63b0908 |
completed | May 10, 2026, 6:13 a.m. |
Created at: April 10, 2026, 5:06 a.m.