Triple
T20376168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cannara |
E497697
|
entity |
| Predicate | hasFrazione |
P4207
|
FINISHED |
| Object |
S. Matteo
S. Matteo is a small hamlet (frazione) of the town of Cannara in the Umbria region of central Italy.
|
E1427255
|
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: S. Matteo | Statement: [Cannara, hasFrazione, S. Matteo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S. Matteo Context triple: [Cannara, hasFrazione, S. Matteo]
-
A.
Santa Maria Nuova
Santa Maria Nuova is a small village in the municipality of Bertinoro in the Emilia-Romagna region of northern Italy.
-
B.
Santa Maria della Neve
Santa Maria della Neve is an Italian title and dedication for churches honoring Saint Mary of the Snows, associated with a traditional legend of a miraculous summer snowfall.
-
C.
Sant’Andrea
Sant’Andrea is a historic church in the Umbrian town of Spello, Italy, known for its medieval architecture and important religious artworks.
-
D.
Sant’Andrea
Sant’Andrea is a locality or district within the municipality of Concesio in the Lombardy region of northern Italy.
-
E.
Santa Maria della Consolazione
Santa Maria della Consolazione is a renowned Renaissance pilgrimage church near Todi in Umbria, Italy, celebrated for its centralized Greek-cross plan and harmonious classical architecture.
- 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: S. Matteo Triple: [Cannara, hasFrazione, S. Matteo]
Generated description
S. Matteo is a small hamlet (frazione) of the town of Cannara in the Umbria region of central Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: S. Matteo Target entity description: S. Matteo is a small hamlet (frazione) of the town of Cannara in the Umbria region of central Italy.
-
A.
Santa Maria Nuova
Santa Maria Nuova is a small village in the municipality of Bertinoro in the Emilia-Romagna region of northern Italy.
-
B.
Santa Maria della Neve
Santa Maria della Neve is an Italian title and dedication for churches honoring Saint Mary of the Snows, associated with a traditional legend of a miraculous summer snowfall.
-
C.
Sant’Andrea
Sant’Andrea is a historic church in the Umbrian town of Spello, Italy, known for its medieval architecture and important religious artworks.
-
D.
Sant’Andrea
Sant’Andrea is a locality or district within the municipality of Concesio in the Lombardy region of northern Italy.
-
E.
Santa Maria della Consolazione
Santa Maria della Consolazione is a renowned Renaissance pilgrimage church near Todi in Umbria, Italy, celebrated for its centralized Greek-cross plan and harmonious classical architecture.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678ad74348190ac57d38eaa56beb3 |
completed | April 20, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0870937de48190b416824110d64245 |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a08717357a881908ba83d104fc3f228 |
completed | May 16, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a087267236c81908c91359f270fb17e |
completed | May 16, 2026, 1:34 p.m. |
Created at: April 16, 2026, 11:27 a.m.