Triple
T14556625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Mantua |
E341557
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Curtatone
Curtatone is a municipality in the Lombardy region of northern Italy, situated near the city of Mantua.
|
E1114587
|
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: Curtatone | Statement: [Province of Mantua, contains, Curtatone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Curtatone Context triple: [Province of Mantua, contains, Curtatone]
-
A.
Borgotaro
Borgotaro is a town and municipality in the Emilia-Romagna region of northern Italy, known for its surrounding Apennine landscapes and prized porcini mushrooms.
-
B.
Zagarolo
Zagarolo is a historic hill town in the Lazio region of central Italy, known for its medieval center and proximity to Rome.
-
C.
Schignano
Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
-
D.
Roccastrada
Roccastrada is a historic hill town and comune in southern Tuscany, Italy, known for its medieval architecture and scenic countryside.
-
E.
Caltabellotta
Caltabellotta is a historic hilltop town in Sicily, Italy, known for its medieval architecture and strategic location overlooking the surrounding valleys.
- 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: Curtatone Triple: [Province of Mantua, contains, Curtatone]
Generated description
Curtatone is a municipality in the Lombardy region of northern Italy, situated near the city of Mantua.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Curtatone Target entity description: Curtatone is a municipality in the Lombardy region of northern Italy, situated near the city of Mantua.
-
A.
Borgotaro
Borgotaro is a town and municipality in the Emilia-Romagna region of northern Italy, known for its surrounding Apennine landscapes and prized porcini mushrooms.
-
B.
Zagarolo
Zagarolo is a historic hill town in the Lazio region of central Italy, known for its medieval center and proximity to Rome.
-
C.
Schignano
Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
-
D.
Roccastrada
Roccastrada is a historic hill town and comune in southern Tuscany, Italy, known for its medieval architecture and scenic countryside.
-
E.
Caltabellotta
Caltabellotta is a historic hilltop town in Sicily, Italy, known for its medieval architecture and strategic location overlooking the surrounding valleys.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f1490881908673f429e5288c86 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde16830c0819090a97b073c8e642d |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fdebe3cb908190a0731bc2b87a7db8 |
completed | May 8, 2026, 1:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdec35ff7881908e2fece02dc531ef |
completed | May 8, 2026, 1:59 p.m. |
Created at: April 10, 2026, 1:23 a.m.