Triple
T9197049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Augusta |
E220740
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Alfidia |
E212475
|
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: Alfidia | Statement: [Julia Augusta, mother, Alfidia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfidia Context triple: [Julia Augusta, mother, Alfidia]
-
A.
Alfidia
chosen
Alfidia was a Roman noblewoman of the late Republic, best known as the mother of Livia Drusilla, the future wife of Emperor Augustus.
-
B.
Iadera
Iadera is the ancient Roman and medieval Latin name for the coastal city now known as Zadar in Croatia.
-
C.
Adagia
Adagia is a renowned collection of Greek and Latin proverbs compiled and annotated by the Renaissance humanist Desiderius Erasmus.
-
D.
Mirafra
Mirafra is a genus of small, ground-dwelling larks known for their cryptic plumage and elaborate song displays, found mainly in Africa and parts of Asia.
-
E.
Ordizia
Ordizia is a historic town in Spain’s Basque Country, known for its traditional weekly market and rich cultural heritage.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd87f50e88190940e73af1deda747 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c3b1af48190bb03af15232c510d |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:25 p.m.