Triple
T17716027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fornovo di Taro |
E442201
|
entity |
| Predicate | bordersWith |
P224
|
FINISHED |
| Object |
Medesano
Medesano is a municipality in the Province of Parma in Italy’s Emilia-Romagna region, known for its rural landscape and proximity to the Taro River.
|
E1284444
|
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: Medesano | Statement: [Fornovo di Taro, bordersWith, Medesano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medesano Context triple: [Fornovo di Taro, bordersWith, Medesano]
-
A.
Mesoraca
Mesoraca is a town in the Calabria region of southern Italy, historically notable as the birthplace of Pope Zosimus.
-
B.
Martese
Martese are the inhabitants or natives of Martis, a locality in Sardinia, Italy.
-
C.
Mora
Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
-
D.
Mora
Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
-
E.
Mora
Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
- 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: Medesano Triple: [Fornovo di Taro, bordersWith, Medesano]
Generated description
Medesano is a municipality in the Province of Parma in Italy’s Emilia-Romagna region, known for its rural landscape and proximity to the Taro River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Medesano Target entity description: Medesano is a municipality in the Province of Parma in Italy’s Emilia-Romagna region, known for its rural landscape and proximity to the Taro River.
-
A.
Mesoraca
Mesoraca is a town in the Calabria region of southern Italy, historically notable as the birthplace of Pope Zosimus.
-
B.
Martese
Martese are the inhabitants or natives of Martis, a locality in Sardinia, Italy.
-
C.
Mora
Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
-
D.
Mora
Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
-
E.
Mora
Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47480955481908fa0d3d34aaedd48 |
completed | April 19, 2026, 6:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a023029aa808190bfacd42036a2f673 |
completed | May 11, 2026, 7:38 p.m. |
| NEDg | Description generation | batch_6a0231835c748190b6908d6ddb5f25b4 |
completed | May 11, 2026, 7:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0232033f788190b0be2d3976ed57e4 |
completed | May 11, 2026, 7:46 p.m. |
Created at: April 10, 2026, 10:06 a.m.