Triple
T29784392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agustín de Betancourt |
E756220
|
entity |
| Predicate | notableAchievement |
P477
|
FINISHED |
| Object | pioneer of civil engineering in Spain |
—
|
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: pioneer of civil engineering in Spain | Statement: [Agustín de Betancourt, notableAchievement, pioneer of civil engineering in Spain]
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_69f22451fb748190bbdbab401280affb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f674a897c88190a9e671b2a47b57bb |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 5:07 p.m.