Triple
T3435509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romana |
E72441
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Romana II |
E72441
|
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: Romana II | Statement: [Romana, nickname, Romana II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romana II Context triple: [Romana, nickname, Romana II]
-
A.
Romana
chosen
Romana is a highly intelligent and compassionate Time Lady from the Doctor Who universe who serves as one of the Doctor’s most capable and scholarly companions.
-
B.
Constantina
Constantina was a daughter of Roman emperor Constantine the Great who became a prominent imperial noblewoman and Christian figure in the 4th-century Roman Empire.
-
C.
Flavia
Flavia is a feminine given name of Latin origin, historically used in ancient Rome and derived from the family name Flavius.
-
D.
Ala II Flavia milliaria
Ala II Flavia milliaria was a large Roman auxiliary cavalry unit known for its deployment along the Empire’s frontiers, including at the Aalen fort in the province of Raetia.
-
E.
Rumuola
Rumuola is a prominent urban neighborhood and transport hub in Port Harcourt, Rivers State, Nigeria.
- 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9f2e4b4819085336fb539daf3c7 |
completed | March 8, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360cbcb60819095a28e50cac5a4ca |
completed | March 13, 2026, 12:56 a.m. |
Created at: March 8, 2026, 3:16 p.m.