Triple
T14092581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Affile |
E339171
|
entity |
| Predicate | hasChurch |
P15000
|
FINISHED |
| Object |
Santa Felicita
Santa Felicita is a church in the Italian town of Affile, known as a local place of Catholic worship and community life.
|
E1079304
|
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: Santa Felicita | Statement: [Affile, hasChurch, Santa Felicita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Felicita Context triple: [Affile, hasChurch, Santa Felicita]
-
A.
Santa Marcela
Santa Marcela is a rural municipality in the province of Apayao in the Cordillera Administrative Region of the Philippines.
-
B.
San Cataldo
San Cataldo is a town in central Sicily, Italy, known for its agricultural economy and proximity to the provincial capital of Caltanissetta.
-
C.
Sant’Erasmo
Sant’Erasmo is a large, sparsely populated island in the Venetian Lagoon known for its agricultural fields and vegetable production, especially artichokes.
-
D.
Santa Flavia
Santa Flavia is a coastal town in northern Sicily, Italy, known for its archaeological sites, fishing traditions, and proximity to Palermo.
-
E.
Santo Paolo
Santo Paolo is the former name of the Baroque Roman Catholic church now known as Santa Maria della Vittoria in Rome.
- 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: Santa Felicita Triple: [Affile, hasChurch, Santa Felicita]
Generated description
Santa Felicita is a church in the Italian town of Affile, known as a local place of Catholic worship and community life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Santa Felicita Target entity description: Santa Felicita is a church in the Italian town of Affile, known as a local place of Catholic worship and community life.
-
A.
Santa Marcela
Santa Marcela is a rural municipality in the province of Apayao in the Cordillera Administrative Region of the Philippines.
-
B.
San Cataldo
San Cataldo is a town in central Sicily, Italy, known for its agricultural economy and proximity to the provincial capital of Caltanissetta.
-
C.
Sant’Erasmo
Sant’Erasmo is a large, sparsely populated island in the Venetian Lagoon known for its agricultural fields and vegetable production, especially artichokes.
-
D.
Santa Flavia
Santa Flavia is a coastal town in northern Sicily, Italy, known for its archaeological sites, fishing traditions, and proximity to Palermo.
-
E.
Santo Paolo
Santo Paolo is the former name of the Baroque Roman Catholic church now known as Santa Maria della Vittoria in Rome.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee47f0881908aea8b5231b93f2f |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0aa2fbc8190b86fea2306363f1b |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd21a2a408190ab335e99fcbbd9ae |
completed | May 7, 2026, 5:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd2e1b2ec81909caab1bfc6394258 |
completed | May 7, 2026, 5:58 p.m. |
Created at: April 9, 2026, 10:22 p.m.