Triple
T28332604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabella Colbran |
E717573
|
entity |
| Predicate | performedPrimarilyIn |
P43446
|
FINISHED |
| Object | Italy |
—
|
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: Italy | Statement: [Isabella Colbran, performedPrimarilyIn, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedPrimarilyIn Context triple: [Isabella Colbran, performedPrimarilyIn, Italy]
-
A.
performsPrimarilyIn
chosen
Indicates that an entity (such as a performer or group) mainly carries out its performances within a particular location, medium, or context.
-
B.
mainlyObservedIn
Indicates that something occurs, appears, or is found predominantly within a particular context, location, group, or condition.
-
C.
hasFanBasePrimarilyIn
Indicates that an entity’s main or largest group of supporters, followers, or fans is located in a specified place or region.
-
D.
countryOf
Indicates that one entity is the country to which another entity belongs, is located in, or is associated with.
-
E.
countryWithPrimaryInterest
Indicates that a specified country has the main or dominant interest, concern, or stake in a particular entity, issue, or 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 28, 2026, 12:33 a.m.