Triple
T1321459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opole |
E28226
|
entity |
| Predicate | twinCity |
P1072
|
FINISHED |
| Object | Carrara |
E151864
|
NE 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: Carrara | Statement: [Opole, twinCity, Carrara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carrara Context triple: [Opole, twinCity, Carrara]
-
A.
Carrara
chosen
Carrara is an Italian city renowned worldwide for its high-quality white marble quarries and sculpture tradition.
-
B.
Cortona
Cortona is an ancient hilltop town in Tuscany, Italy, historically significant as one of the principal cities of the Etruscan civilization.
-
C.
Castrocaro Terme e Terra del Sole
Castrocaro Terme e Terra del Sole is a small Italian municipality in Emilia-Romagna known for its historic spa town and well-preserved Renaissance fortress town.
-
D.
San Savino
San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
-
E.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19932888190a3d45871e84f112e |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace55f2c288190b8315794b11a7e65 |
completed | March 8, 2026, 2:56 a.m. |
Created at: March 1, 2026, 7:55 p.m.