Triple
T337491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pantheon |
E6760
|
entity |
| Predicate | originallyDedicatedTo |
P1283
|
FINISHED |
| Object | all the gods of ancient Rome |
—
|
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: all the gods of ancient Rome | Statement: [Pantheon, originallyDedicatedTo, all the gods of ancient Rome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyDedicatedTo Context triple: [Pantheon, originallyDedicatedTo, all the gods of ancient Rome]
-
A.
originallyWrittenFor
Indicates that a work was initially created or composed with a particular recipient, medium, context, or purpose in mind.
-
B.
dedicated
chosen
Indicates that one entity is formally assigned, reserved, or committed for the specific use, benefit, or purpose of another entity.
-
C.
dedicationDate
Indicates the date on which something (such as a building, monument, or work) is formally dedicated or inaugurated.
-
D.
originallyCoveredBy
Indicates that something was first protected, reported on, or documented by a particular source, medium, or entity before any others.
-
E.
historicallyBorneBy
Indicates that an entity has carried, possessed, or used another entity (such as a name, title, or symbol) at some point in the past.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eae23b0c819081f8bf9ac26685ab |
completed | Feb. 28, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69a2e94f049881908f10bb6548a8bb2e |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.