Triple
T9840952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wabasha III |
E239221
|
entity |
| Predicate | hasDescendant |
P3654
|
FINISHED |
| Object | later leaders of the Wabasha family line |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: later leaders of the Wabasha family line | Statement: [Wabasha III, hasDescendant, later leaders of the Wabasha family line]
Provenance (2 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34c920c81909b56ed9936b15f9b |
completed | April 2, 2026, 12:07 a.m. |
Created at: March 30, 2026, 8:33 p.m.