Triple
T38458061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aci Bonaccorsi |
E912371
|
entity |
| Predicate | metropolitanCityCapital |
P35753
|
FINISHED |
| Object | Catania |
—
|
NE NERFINISHED |
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: Catania | Statement: [Aci Bonaccorsi, metropolitanCityCapital, Catania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metropolitanCityCapital Context triple: [Aci Bonaccorsi, metropolitanCityCapital, Catania]
-
A.
modernCityCorrespondsToCapital
Indicates that a modern city serves as, or corresponds to, the capital of a given political or administrative entity.
-
B.
countryCapitalMetropolitanArea
Indicates that a specified metropolitan area serves as the capital region of a given country.
-
C.
countryCapitalMunicipality
Indicates that a given municipality serves as the capital city of a specified country.
-
D.
destinationCapitalOf
Indicates that a location serves as the capital city of the specified destination or region.
-
E.
cityAsCapitalOf
chosen
Indicates that a city serves as the official capital of a specified political or administrative 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_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcce7afcd08190906cc3801152656a |
completed | May 7, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69fcccf140ec8190862d53388a5f40d7 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.