Triple
T1411250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Rainbow Minerals |
E31808
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object |
ARM Coal
ARM Coal is the coal mining division of African Rainbow Minerals, focused on the exploration, production, and sale of coal resources.
|
E161662
|
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 Coal | Statement: [African Rainbow Minerals, hasDivision, ARM Coal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARM Coal Context triple: [African Rainbow Minerals, hasDivision, ARM Coal]
-
A.
Armor Branch
The Armor Branch is the United States Army’s combat arms branch responsible for armored and cavalry forces, specializing in tank and mechanized warfare.
-
B.
Union Steel
Union Steel was an American steel company historically associated with industrialist and financier Andrew W. Mellon.
-
C.
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.
-
D.
Hamer
Hamer is the surname of Fannie Lou Hamer, the prominent American civil rights activist and voting rights leader.
-
E.
TNT
TNT is an American cable television network known for airing sports, movies, and original drama programming.
- 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 Coal Triple: [African Rainbow Minerals, hasDivision, ARM Coal]
Generated description
ARM Coal is the coal mining division of African Rainbow Minerals, focused on the exploration, production, and sale of coal resources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ARM Coal Target entity description: ARM Coal is the coal mining division of African Rainbow Minerals, focused on the exploration, production, and sale of coal resources.
-
A.
Armor Branch
The Armor Branch is the United States Army’s combat arms branch responsible for armored and cavalry forces, specializing in tank and mechanized warfare.
-
B.
Union Steel
Union Steel was an American steel company historically associated with industrialist and financier Andrew W. Mellon.
-
C.
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.
-
D.
Hamer
Hamer is the surname of Fannie Lou Hamer, the prominent American civil rights activist and voting rights leader.
-
E.
TNT
TNT is an American cable television network known for airing sports, movies, and original drama programming.
- 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.