Triple
T15330855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | voestalpine |
E366526
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | voestalpine Böhler Welding |
E366526
|
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: voestalpine Böhler Welding | Statement: [voestalpine, hasSubsidiary, voestalpine Böhler Welding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: voestalpine Böhler Welding Context triple: [voestalpine, hasSubsidiary, voestalpine Böhler Welding]
-
A.
voestalpine
chosen
voestalpine is a leading Austrian steel and technology group known for producing high-quality steel products and advanced metal engineering solutions for global industries.
-
B.
Sandvik
Sandvik is a coastal village on the island of Öland in southeastern Sweden, known for its historic windmill and scenic Baltic Sea shoreline.
-
C.
Sandvik
Sandvik is a Swedish multinational engineering group specializing in advanced tools, mining and construction equipment, and materials technology.
-
D.
Wohlers
Wohlers is a German-origin surname borne by various notable individuals, including athletes and professionals.
-
E.
Semaver
Semaver is a celebrated short story collection by Turkish writer Sait Faik Abasıyanık, known for its lyrical depictions of everyday Istanbul life and marginalized characters.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0161ac8190aa1d52c063c02ad0 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8b1b2d08190a158bf65535ad750 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:17 a.m.