Triple
T7383625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Belluno |
E170324
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Comelico
Comelico is a mountainous area in the northeastern Italian Alps, known for its scenic valleys, traditional Ladin culture, and winter sports tourism.
|
E659868
|
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: Comelico | Statement: [Province of Belluno, contains, Comelico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comelico Context triple: [Province of Belluno, contains, Comelico]
-
A.
Alessi
Alessi is an Italian design company renowned for its innovative, playful, and high-quality household products created in collaboration with prominent designers.
-
B.
Baldeo
Baldeo is a town in India’s Braj region, known for its religious significance and association with Krishna-related traditions.
-
C.
Cominotto
Cominotto is a small uninhabited islet in the Maltese archipelago, located just off the larger island of Comino.
-
D.
Premo
Premo is the nickname of DJ Premier, a highly influential American hip-hop producer and DJ known for his gritty, sample-based boom-bap sound.
-
E.
Vacone
Vacone is a small historic hilltop village in the Lazio region of central Italy, known for its scenic countryside and traditional rural character.
- 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: Comelico Triple: [Province of Belluno, contains, Comelico]
Generated description
Comelico is a mountainous area in the northeastern Italian Alps, known for its scenic valleys, traditional Ladin culture, and winter sports tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Comelico Target entity description: Comelico is a mountainous area in the northeastern Italian Alps, known for its scenic valleys, traditional Ladin culture, and winter sports tourism.
-
A.
Alessi
Alessi is an Italian design company renowned for its innovative, playful, and high-quality household products created in collaboration with prominent designers.
-
B.
Baldeo
Baldeo is a town in India’s Braj region, known for its religious significance and association with Krishna-related traditions.
-
C.
Cominotto
Cominotto is a small uninhabited islet in the Maltese archipelago, located just off the larger island of Comino.
-
D.
Premo
Premo is the nickname of DJ Premier, a highly influential American hip-hop producer and DJ known for his gritty, sample-based boom-bap sound.
-
E.
Vacone
Vacone is a small historic hilltop village in the Lazio region of central Italy, known for its scenic countryside and traditional rural character.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1cb0b8881908132383c0efb0503 |
completed | March 27, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802dee7448190be1835bd822b9180 |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c80362bcb88190ad8c42f520d7dd56 |
completed | March 28, 2026, 4:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c803da5e2c819098814b16d14cf837 |
completed | March 28, 2026, 4:37 p.m. |
Created at: March 27, 2026, 3:08 p.m.