Triple
T5512714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dora Baltea basin |
E144603
|
entity |
| Predicate | hasMouthNear |
P350
|
FINISHED |
| Object |
Crescentino
Crescentino is a municipality in the Piedmont region of northwestern Italy, situated in the province of Vercelli.
|
E528461
|
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: Crescentino | Statement: [Dora Baltea basin, hasMouthNear, Crescentino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crescentino Context triple: [Dora Baltea basin, hasMouthNear, Crescentino]
-
A.
Bisacquino
Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
-
B.
Garessio
Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
-
C.
Longiano
Longiano is a historic hilltop town in Italy’s Emilia-Romagna region, known for its medieval castle, scenic views, and well-preserved old center.
-
D.
Mesoraca
Mesoraca is a town in the Calabria region of southern Italy, historically notable as the birthplace of Pope Zosimus.
-
E.
Crescent
Crescent is a long-distance Amtrak passenger train that runs between New York City and New Orleans, serving major cities along the U.S. East Coast and Deep South.
- 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: Crescentino Triple: [Dora Baltea basin, hasMouthNear, Crescentino]
Generated description
Crescentino is a municipality in the Piedmont region of northwestern Italy, situated in the province of Vercelli.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crescentino Target entity description: Crescentino is a municipality in the Piedmont region of northwestern Italy, situated in the province of Vercelli.
-
A.
Bisacquino
Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
-
B.
Garessio
Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
-
C.
Longiano
Longiano is a historic hilltop town in Italy’s Emilia-Romagna region, known for its medieval castle, scenic views, and well-preserved old center.
-
D.
Mesoraca
Mesoraca is a town in the Calabria region of southern Italy, historically notable as the birthplace of Pope Zosimus.
-
E.
Crescent
Crescent is a long-distance Amtrak passenger train that runs between New York City and New Orleans, serving major cities along the U.S. East Coast and Deep South.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f581c5081909a8f6d4653edb125 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027d192808190b1e80a6f3be44870 |
completed | March 22, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c033dc91e08190888fb6e94027fbdb |
completed | March 22, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03460b21481908b78aa4bdc989d2c |
completed | March 22, 2026, 6:26 p.m. |
Created at: March 22, 2026, 3:33 p.m.