Triple
T12283162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huachipato |
E292763
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Siderúrgicos |
E417406
|
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: Siderúrgicos | Statement: [Huachipato, nickname, Siderúrgicos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siderúrgicos Context triple: [Huachipato, nickname, Siderúrgicos]
-
A.
Siderúrgicos
chosen
Siderúrgicos is the nickname of Chilean football club Huachipato, reflecting the region’s strong steel industry heritage.
-
B.
Companhia Siderúrgica Nacional
Companhia Siderúrgica Nacional is one of Brazil’s largest integrated steel producers, historically significant for driving the country’s industrialization.
-
C.
Altos Hornos de México
Altos Hornos de México is one of Mexico’s largest integrated steel producers, known for its major steelmaking operations and industrial influence in the country.
-
D.
Union Steel
Union Steel was an American steel company historically associated with industrialist and financier Andrew W. Mellon.
-
E.
Railfreight Metals
Railfreight Metals was a specialized British Rail freight sector focused on the transportation of metal products and related bulk materials by rail.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d1ede3081908647595739c3e996 |
completed | April 10, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e70dec8819098199fbb54d888c1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.