Triple
T5934134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ArcelorMittal |
E132002
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object | ArcelorMittal Brazil |
E132002
|
NE FINISHED |
How this triple was built (2 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: ArcelorMittal Brazil | Statement: [ArcelorMittal, hasDivision, ArcelorMittal Brazil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ArcelorMittal Brazil Context triple: [ArcelorMittal, hasDivision, ArcelorMittal Brazil]
-
A.
ArcelorMittal
chosen
ArcelorMittal is a multinational steel manufacturing corporation and one of the world’s largest steel producers, headquartered in Luxembourg.
-
B.
Siderúrgicos
Siderúrgicos is the nickname of Chilean football club Huachipato, reflecting the region’s strong steel industry heritage.
-
C.
Dofasco
Dofasco is a major Canadian steel manufacturer based in Hamilton, Ontario, long recognized as one of the city’s most prominent industrial employers.
-
D.
SEVERSTAL
SEVERSTAL is the radio callsign used by Severstal Aircompany, a Russian airline.
-
E.
Fundidora de Fierro y Acero de Monterrey
Fundidora de Fierro y Acero de Monterrey was a major Mexican iron and steel foundry in Monterrey that played a key role in the country’s early industrialization.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038a0c4e481908170d615330edb1a |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c069e450819096b268637ffcd219 |
completed | March 23, 2026, 4:24 a.m. |
Created at: March 22, 2026, 4 p.m.