Triple
T20405298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venus Genetrix |
E500451
|
entity |
| Predicate | templeDedicationYear |
P28305
|
FINISHED |
| Object | 46 BC |
—
|
LITERAL 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: 46 BC | Statement: [Venus Genetrix, templeDedicationYear, 46 BC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: templeDedicationYear Context triple: [Venus Genetrix, templeDedicationYear, 46 BC]
-
A.
plannedTempleDedicatedBy
Indicates that a temple, while still in the planning or unbuilt stage, is intended or designated to be dedicated by a specific agent or entity.
-
B.
templeDedicatedBy
Indicates that a temple was formally dedicated, consecrated, or established by a specific person, group, or authority.
-
C.
foundedAsTempleInYear
Indicates that an entity was originally established as a temple in a specific year.
-
D.
foundedTemple
Indicates that an entity established or created a temple, typically as its founder.
-
E.
hadTempleDedicatedTo
chosen
Indicates that a temple was formally dedicated in honor of, or for the worship of, a particular entity.
- F. None of above.
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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6799161c48190825eca3027d1aa51 |
completed | April 20, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:29 a.m.