Triple
T16169118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temples of Venus |
E392386
|
entity |
| Predicate | hasDeityAspect |
P73550
|
FINISHED |
| Object | Venus Victrix |
E403951
|
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: Venus Victrix | Statement: [Temples of Venus, hasDeityAspect, Venus Victrix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Venus Victrix Context triple: [Temples of Venus, hasDeityAspect, Venus Victrix]
-
A.
Venus Victrix
chosen
Venus Victrix is a celebrated neoclassical marble sculpture by Antonio Canova depicting Pauline Bonaparte as the goddess Venus.
-
B.
Venus Felix
Venus Felix is a benevolent aspect of the Roman goddess Venus, venerated for bringing good fortune, success, and favorable outcomes.
-
C.
Venusia
Venusia was an important ancient city of Lucania in southern Italy, known for its strategic location and Roman colonial history.
-
D.
VenusFort
VenusFort was a Venice-themed shopping and entertainment mall in Tokyo’s Odaiba district, known for its faux European streetscape and outlet stores.
-
E.
Venutius
Venutius was a 1st-century AD king of the Brigantes in northern Britain, known for opposing Roman rule and clashing with the pro-Roman queen Cartimandua.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb5e6d881908749683091afa90c |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7bb6aac8190a33607abfe9a32d0 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:02 a.m.