Triple
T520960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio Quarracino |
E10814
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Pollica
Pollica is a small coastal town in Italy’s Campania region, known for its traditional Mediterranean lifestyle and cuisine.
|
E100076
|
NE FINISHED |
How this triple was built (4 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: Pollica | Statement: [Antonio Quarracino, birthPlace, Pollica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pollica Context triple: [Antonio Quarracino, birthPlace, Pollica]
-
A.
San Savino
San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
-
B.
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.
-
C.
Caltanissetta
Caltanissetta is a historic inland city in central Sicily, Italy, known for its former sulfur mining industry and panoramic hilltop setting.
-
D.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
-
E.
Porto Ercole
Porto Ercole is a coastal village on Italy’s Monte Argentario peninsula, known as a historic Tuscan port and the place where the painter Caravaggio died.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pollica Triple: [Antonio Quarracino, birthPlace, Pollica]
Generated description
Pollica is a small coastal town in Italy’s Campania region, known for its traditional Mediterranean lifestyle and cuisine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pollica Target entity description: Pollica is a small coastal town in Italy’s Campania region, known for its traditional Mediterranean lifestyle and cuisine.
-
A.
San Savino
San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
-
B.
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.
-
C.
Caltanissetta
Caltanissetta is a historic inland city in central Sicily, Italy, known for its former sulfur mining industry and panoramic hilltop setting.
-
D.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
-
E.
Porto Ercole
Porto Ercole is a coastal village on Italy’s Monte Argentario peninsula, known as a historic Tuscan port and the place where the painter Caravaggio died.
- F. None of above. chosen
Provenance (5 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1a1817c8190a6cc8f423071d3ad |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7927a25b081909b553fe3a486e84a |
completed | March 4, 2026, 2:01 a.m. |
| NEDg | Description generation | batch_69a796fc8de08190a8bc1fff36d3ea9d |
completed | March 4, 2026, 2:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a79773ce988190bd019e1bd03a3464 |
completed | March 4, 2026, 2:22 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.