Triple
T4585201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran Paradiso massif |
E101950
|
entity |
| Predicate | containsPeak |
P8205
|
FINISHED |
| Object |
Becca di Monciair
Becca di Monciair is a mountain peak in the Graian Alps of northwestern Italy, known as part of the high alpine landscape surrounding the Gran Paradiso area.
|
E454666
|
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: Becca di Monciair | Statement: [Gran Paradiso massif, containsPeak, Becca di Monciair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Becca di Monciair Context triple: [Gran Paradiso massif, containsPeak, Becca di Monciair]
-
A.
Ludovica
Ludovica is an Italian feminine given name, traditionally associated with nobility and derived from the same Germanic roots as names like Louise and Ludwig.
-
B.
Rosabella
Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
-
C.
Silvana
Silvana is a feminine given name used in various cultures, often associated with meanings related to forests or woods.
-
D.
Leonessa
Leonessa is a historic mountain town in central Italy, known for its medieval architecture and scenic location in the Apennines.
-
E.
Paola
Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
- 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: Becca di Monciair Triple: [Gran Paradiso massif, containsPeak, Becca di Monciair]
Generated description
Becca di Monciair is a mountain peak in the Graian Alps of northwestern Italy, known as part of the high alpine landscape surrounding the Gran Paradiso area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Becca di Monciair Target entity description: Becca di Monciair is a mountain peak in the Graian Alps of northwestern Italy, known as part of the high alpine landscape surrounding the Gran Paradiso area.
-
A.
Ludovica
Ludovica is an Italian feminine given name, traditionally associated with nobility and derived from the same Germanic roots as names like Louise and Ludwig.
-
B.
Rosabella
Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
-
C.
Silvana
Silvana is a feminine given name used in various cultures, often associated with meanings related to forests or woods.
-
D.
Leonessa
Leonessa is a historic mountain town in central Italy, known for its medieval architecture and scenic location in the Apennines.
-
E.
Paola
Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
- 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_69bd43d4ce208190b53158c882b222e3 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59056bb48190ba1e0b5beda9bdc4 |
completed | March 20, 2026, 2:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde0a18c90819083953e78fc6de8db |
completed | March 21, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69bde2520f248190b746a322a3ec60bc |
completed | March 21, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bde2aaf654819093e1cb3a533fead1 |
completed | March 21, 2026, 12:13 a.m. |
Created at: March 20, 2026, 1:10 p.m.