Triple
T5521697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arezzo |
E144823
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object |
Casentino
Casentino is a scenic valley in eastern Tuscany, Italy, known for its medieval towns, forests, and the upper course of the Arno River.
|
E534593
|
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: Casentino | Statement: [Arezzo, locatedOn, Casentino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casentino Context triple: [Arezzo, locatedOn, Casentino]
-
A.
Pescorocchiano
Pescorocchiano is a small Italian municipality in the Lazio region, known for its rural landscape and historic hilltop setting within the Province of Rieti.
-
B.
Agnone
Agnone is a historic hill town in southern Italy renowned for its ancient bell foundry and well-preserved medieval center.
-
C.
Gargnano
Gargnano is a small town on the western shore of Lake Garda in northern Italy, known for its scenic lakeside setting and historic villas.
-
D.
Valnerina
Valnerina is a scenic valley in central Italy known for its rugged landscapes, medieval villages, and outdoor activities along the Nera River.
-
E.
Pecetto
Pecetto is a small hamlet within the alpine municipality of Macugnaga in Italy’s Piedmont region.
- 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: Casentino Triple: [Arezzo, locatedOn, Casentino]
Generated description
Casentino is a scenic valley in eastern Tuscany, Italy, known for its medieval towns, forests, and the upper course of the Arno River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Casentino Target entity description: Casentino is a scenic valley in eastern Tuscany, Italy, known for its medieval towns, forests, and the upper course of the Arno River.
-
A.
Pescorocchiano
Pescorocchiano is a small Italian municipality in the Lazio region, known for its rural landscape and historic hilltop setting within the Province of Rieti.
-
B.
Agnone
Agnone is a historic hill town in southern Italy renowned for its ancient bell foundry and well-preserved medieval center.
-
C.
Gargnano
Gargnano is a small town on the western shore of Lake Garda in northern Italy, known for its scenic lakeside setting and historic villas.
-
D.
Valnerina
Valnerina is a scenic valley in central Italy known for its rugged landscapes, medieval villages, and outdoor activities along the Nera River.
-
E.
Pecetto
Pecetto is a small hamlet within the alpine municipality of Macugnaga in Italy’s Piedmont region.
- 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f7227a8819080c9f074afe0eaac |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04cd0e748819088b11623f25b18ab |
completed | March 22, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c04e827bdc819086e01e7043400452 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f088a3c81909610f1a564960e0f |
completed | March 22, 2026, 8:20 p.m. |
Created at: March 22, 2026, 3:33 p.m.