Triple
T3439979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umayyad conquest of Hispania |
E72540
|
entity |
| Predicate | longTermConsequence |
P812
|
FINISHED |
| Object | Islamization of parts of Iberia |
—
|
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: Islamization of parts of Iberia | Statement: [Umayyad conquest of Hispania, longTermConsequence, Islamization of parts of Iberia]
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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9f833e88190b5e813f115621a5f |
completed | March 8, 2026, 6:03 p.m. |
Created at: March 8, 2026, 3:16 p.m.