Triple
T1411249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Rainbow Minerals |
E31808
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object |
ARM Ferrous
ARM Ferrous is the iron ore and related ferrous metals mining division of South African diversified mining company African Rainbow Minerals.
|
E161661
|
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: ARM Ferrous | Statement: [African Rainbow Minerals, hasDivision, ARM Ferrous]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARM Ferrous Context triple: [African Rainbow Minerals, hasDivision, ARM Ferrous]
-
A.
ARMIR
ARMIR was the Italian 8th Army deployed on the Eastern Front during World War II, best known for its disastrous defeat alongside German forces in the Soviet Union.
-
B.
Ирон (Iron)
Ирон (Iron) is the self-designation used by Ossetians for their own ethnic group and language.
-
C.
Union Steel
Union Steel was an American steel company historically associated with industrialist and financier Andrew W. Mellon.
-
D.
Haynrode
Haynrode is a small village in the German state of Thuringia.
-
E.
Fremulon
Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
- 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: ARM Ferrous Triple: [African Rainbow Minerals, hasDivision, ARM Ferrous]
Generated description
ARM Ferrous is the iron ore and related ferrous metals mining division of South African diversified mining company African Rainbow Minerals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ARM Ferrous Target entity description: ARM Ferrous is the iron ore and related ferrous metals mining division of South African diversified mining company African Rainbow Minerals.
-
A.
ARMIR
ARMIR was the Italian 8th Army deployed on the Eastern Front during World War II, best known for its disastrous defeat alongside German forces in the Soviet Union.
-
B.
Ирон (Iron)
Ирон (Iron) is the self-designation used by Ossetians for their own ethnic group and language.
-
C.
Union Steel
Union Steel was an American steel company historically associated with industrialist and financier Andrew W. Mellon.
-
D.
Haynrode
Haynrode is a small village in the German state of Thuringia.
-
E.
Fremulon
Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e1da988190bc7c187e193539b6 |
completed | March 1, 2026, 10:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace57be14881908d469d2b5333d6d5 |
completed | March 8, 2026, 2:57 a.m. |
| NEDg | Description generation | batch_69ace61c6f348190bba7717b1bd7f24a |
completed | March 8, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace6eeb99081908ac23a6c71faeae6 |
completed | March 8, 2026, 3:03 a.m. |
Created at: March 1, 2026, 7:59 p.m.