Triple
T16448490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prato allo Stelvio |
E399492
|
entity |
| Predicate | hasLadinName |
P74955
|
FINISHED |
| Object |
Prà
Prà is the Ladin-language name for the municipality of Prato allo Stelvio in South Tyrol, northern Italy.
|
E1213201
|
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: Prà | Statement: [Prato allo Stelvio, hasLadinName, Prà]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prà Context triple: [Prato allo Stelvio, hasLadinName, Prà]
-
A.
Preveza
Preveza is a coastal city in northwestern Greece known for its strategic location at the entrance of the Ambracian Gulf, its historic old town, and nearby beaches.
-
B.
Piera
Piera is a municipality in the comarca of Anoia in Catalonia, Spain, known for its historic town center and surrounding agricultural landscape.
-
C.
Nonza
Nonza is a picturesque coastal village on the island of Corsica in France, known for its dramatic cliffside setting and distinctive black pebble beach.
-
D.
Penedono
Penedono is a small Portuguese municipality in the Viseu district, known for its medieval castle and location within the Douro wine region.
-
E.
Teulada
Teulada is a coastal town and comune in southern Sardinia, Italy, known for its scenic beaches and rugged Mediterranean landscape.
- 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: Prà Triple: [Prato allo Stelvio, hasLadinName, Prà]
Generated description
Prà is the Ladin-language name for the municipality of Prato allo Stelvio in South Tyrol, northern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prà Target entity description: Prà is the Ladin-language name for the municipality of Prato allo Stelvio in South Tyrol, northern Italy.
-
A.
Preveza
Preveza is a coastal city in northwestern Greece known for its strategic location at the entrance of the Ambracian Gulf, its historic old town, and nearby beaches.
-
B.
Piera
Piera is a municipality in the comarca of Anoia in Catalonia, Spain, known for its historic town center and surrounding agricultural landscape.
-
C.
Nonza
Nonza is a picturesque coastal village on the island of Corsica in France, known for its dramatic cliffside setting and distinctive black pebble beach.
-
D.
Penedono
Penedono is a small Portuguese municipality in the Viseu district, known for its medieval castle and location within the Douro wine region.
-
E.
Teulada
Teulada is a coastal town and comune in southern Sardinia, Italy, known for its scenic beaches and rugged Mediterranean landscape.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdee44c8190ae0df20c58ff7558 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004594a4508190be08f3acfff36ab0 |
completed | May 10, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_6a0046833e208190a0e1e37fc24c09e0 |
completed | May 10, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00471604f88190b7cc58a77b861585 |
completed | May 10, 2026, 8:51 a.m. |
Created at: April 10, 2026, 5:10 a.m.