Triple
T21857311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Reggio Calabria |
E539662
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Siderno
Siderno is a coastal town in southern Italy known for its beaches along the Ionian Sea and its location in the Calabria region.
|
E1505764
|
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: Siderno | Statement: [Province of Reggio Calabria, contains, Siderno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siderno Context triple: [Province of Reggio Calabria, contains, Siderno]
-
A.
Sorrent
Sorrent was a mobile game developer and publisher that later became known as Glu Mobile.
-
B.
Carovigno
Carovigno is a historic town and popular tourist destination in Italy’s Apulia region, known for its medieval castle, olive groves, and proximity to the Adriatic coast.
-
C.
Podenzano
Podenzano is a municipality in the Emilia-Romagna region of northern Italy, known for its agricultural landscape and proximity to the city of Piacenza.
-
D.
Nocciano
Nocciano is a small Italian town and comune in the Abruzzo region, known for its historic hilltop setting and traditional rural character.
-
E.
Logudoro
Logudoro is a historical-cultural region in northern Sardinia known for its distinctive Sardinian dialect, medieval heritage, and rural landscapes.
- 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: Siderno Triple: [Province of Reggio Calabria, contains, Siderno]
Generated description
Siderno is a coastal town in southern Italy known for its beaches along the Ionian Sea and its location in the Calabria region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siderno Target entity description: Siderno is a coastal town in southern Italy known for its beaches along the Ionian Sea and its location in the Calabria region.
-
A.
Sorrent
Sorrent was a mobile game developer and publisher that later became known as Glu Mobile.
-
B.
Carovigno
Carovigno is a historic town and popular tourist destination in Italy’s Apulia region, known for its medieval castle, olive groves, and proximity to the Adriatic coast.
-
C.
Podenzano
Podenzano is a municipality in the Emilia-Romagna region of northern Italy, known for its agricultural landscape and proximity to the city of Piacenza.
-
D.
Nocciano
Nocciano is a small Italian town and comune in the Abruzzo region, known for its historic hilltop setting and traditional rural character.
-
E.
Logudoro
Logudoro is a historical-cultural region in northern Sardinia known for its distinctive Sardinian dialect, medieval heritage, and rural landscapes.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d636dc708190be34bb7ea526cfac |
completed | April 28, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a4bd70bd0819084e4bb4af845484b |
completed | May 17, 2026, 11:14 p.m. |
| NEDg | Description generation | batch_6a0a4fa22dd481909a01616d8c99d044 |
completed | May 17, 2026, 11:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a5059be1881908ee2823b0c990448 |
completed | May 17, 2026, 11:33 p.m. |
Created at: April 16, 2026, 6:56 p.m.