Triple
T15543418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cremonese (Lombard variety) |
E370538
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Cremunés
Cremunés is a local Lombard dialect spoken in and around the city of Cremona in northern Italy.
|
E1163365
|
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: Cremunés | Statement: [Cremonese (Lombard variety), hasAlternativeName, Cremunés]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cremunés Context triple: [Cremonese (Lombard variety), hasAlternativeName, Cremunés]
-
A.
Cerbillona
Cerbillona is a prominent peak in the Vignemale massif of the central Pyrenees, known for its high elevation and alpine climbing routes on the French–Spanish border.
-
B.
Torelló
Torelló is a municipality in the comarca of Osona in Catalonia, Spain, known for its industrial heritage and scenic location in the Ter river valley.
-
C.
Navarcles
Navarcles is a municipality in the comarca of Bages in Catalonia, Spain, known for its location near the Llobregat and Calders rivers.
-
D.
Acesines
Acesines is the ancient Greek name for the Chenab River, a major river of the Punjab region in South Asia.
-
E.
Marmolèda
Marmolèda is the Ladin name for Marmolada, the highest mountain in the Dolomites of northeastern Italy.
- 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: Cremunés Triple: [Cremonese (Lombard variety), hasAlternativeName, Cremunés]
Generated description
Cremunés is a local Lombard dialect spoken in and around the city of Cremona in northern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cremunés Target entity description: Cremunés is a local Lombard dialect spoken in and around the city of Cremona in northern Italy.
-
A.
Cerbillona
Cerbillona is a prominent peak in the Vignemale massif of the central Pyrenees, known for its high elevation and alpine climbing routes on the French–Spanish border.
-
B.
Torelló
Torelló is a municipality in the comarca of Osona in Catalonia, Spain, known for its industrial heritage and scenic location in the Ter river valley.
-
C.
Navarcles
Navarcles is a municipality in the comarca of Bages in Catalonia, Spain, known for its location near the Llobregat and Calders rivers.
-
D.
Acesines
Acesines is the ancient Greek name for the Chenab River, a major river of the Punjab region in South Asia.
-
E.
Marmolèda
Marmolèda is the Ladin name for Marmolada, the highest mountain in the Dolomites of northeastern Italy.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0443410408190a249889edcd9c599 |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4558677881908704ac86c12e1fc4 |
completed | May 9, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69ff468d1db88190ad71bc6780df5439 |
completed | May 9, 2026, 2:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff472fb24c8190912755bd95ef50c9 |
completed | May 9, 2026, 2:39 p.m. |
Created at: April 10, 2026, 4:07 a.m.