Triple
T4478802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pollica |
E100076
|
entity |
| Predicate | hasFrazione |
P4207
|
FINISHED |
| Object |
Celso
Celso is a small village in southern Italy that serves as a frazione (hamlet) of the municipality of Pollica in the Campania region.
|
E443512
|
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: Celso | Statement: [Pollica, hasFrazione, Celso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Celso Context triple: [Pollica, hasFrazione, Celso]
-
A.
Valeriano
Valeriano is a masculine given name of Latin origin, historically borne by several notable figures including Spanish military and political leaders.
-
B.
Lucio
Lucio is a popular support hero in the game Overwatch, known for his music-based abilities that heal and speed up teammates.
-
C.
Cipriano
Cipriano is a masculine given name of Spanish origin, historically borne by figures such as the Protestant reformer and Bible translator Cipriano de Valera.
-
D.
Antonino
Antonino is the Italian given name of actor Giovanni Ribisi, whose full name is Antonino Giovanni Ribisi.
-
E.
Horácio
Horácio is the Portuguese form of the name Horace, historically associated with the Roman poet Quintus Horatius Flaccus.
- 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: Celso Triple: [Pollica, hasFrazione, Celso]
Generated description
Celso is a small village in southern Italy that serves as a frazione (hamlet) of the municipality of Pollica in the Campania region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Celso Target entity description: Celso is a small village in southern Italy that serves as a frazione (hamlet) of the municipality of Pollica in the Campania region.
-
A.
Valeriano
Valeriano is a masculine given name of Latin origin, historically borne by several notable figures including Spanish military and political leaders.
-
B.
Lucio
Lucio is a popular support hero in the game Overwatch, known for his music-based abilities that heal and speed up teammates.
-
C.
Cipriano
Cipriano is a masculine given name of Spanish origin, historically borne by figures such as the Protestant reformer and Bible translator Cipriano de Valera.
-
D.
Antonino
Antonino is the Italian given name of actor Giovanni Ribisi, whose full name is Antonino Giovanni Ribisi.
-
E.
Horácio
Horácio is the Portuguese form of the name Horace, historically associated with the Roman poet Quintus Horatius Flaccus.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b357e4be748190b31aa83d6a8bee53 |
completed | March 13, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b63776ae008190a7668cddf1a42df3 |
completed | March 15, 2026, 4:37 a.m. |
| NEDg | Description generation | batch_69b63823c30c8190af727acae00da9d3 |
completed | March 15, 2026, 4:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b638a398f88190bd0f041e9494aeba |
completed | March 15, 2026, 4:42 a.m. |
Created at: March 12, 2026, 11:35 p.m.