Triple
T6514905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benzino Napaloni |
E148230
|
entity |
| Predicate | fictionalCountryRuled |
P68921
|
FINISHED |
| Object | Bacteria |
—
|
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: Bacteria | Statement: [Benzino Napaloni, fictionalCountryRuled, Bacteria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalCountryRuled Context triple: [Benzino Napaloni, fictionalCountryRuled, Bacteria]
-
A.
countryRuled
Indicates that one entity exercises governing authority or political control over a country.
-
B.
fictionalCountryLocation
Indicates that a fictional country is located within, or geographically associated with, a specified place or region.
-
C.
governingEmpire
Indicates that one entity serves as the ruling imperial power that controls or governs another entity.
-
D.
realmRuled
chosen
Indicates that one entity serves as the sovereign or governing ruler over a particular realm, territory, or domain.
-
E.
governedByFictional
Indicates that one entity is under the rule, control, or authority of another entity that is fictional or exists only in an imagined context.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac0bea808190aebc2905fb53eeba |
completed | March 27, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:44 p.m.