Triple
T7542763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Cuneo |
E178320
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bra
Bra is a town in Italy’s Piedmont region known as the birthplace of the Slow Food movement and for its rich culinary and wine traditions.
|
E671101
|
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: Bra | Statement: [Province of Cuneo, contains, Bra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bra Context triple: [Province of Cuneo, contains, Bra]
-
A.
BRA
BRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Brazil in international standards and data systems.
-
B.
Nippletop
Nippletop is a prominent Adirondack High Peak in New York’s High Peaks Wilderness, known for its steep ascent and expansive summit views.
-
C.
Trottiera
Trottiera is one of the traditional bells housed in St Mark's Campanile in Venice, historically used to signal specific civic or religious events.
-
D.
Biskinik
Biskinik is the official newspaper of the Choctaw Nation, providing news, cultural information, and community updates for Choctaw citizens.
-
E.
Wacoal
Wacoal is a Japanese company best known as a leading manufacturer and retailer of women's lingerie and intimate apparel.
- 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: Bra Triple: [Province of Cuneo, contains, Bra]
Generated description
Bra is a town in Italy’s Piedmont region known as the birthplace of the Slow Food movement and for its rich culinary and wine traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bra Target entity description: Bra is a town in Italy’s Piedmont region known as the birthplace of the Slow Food movement and for its rich culinary and wine traditions.
-
A.
BRA
BRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Brazil in international standards and data systems.
-
B.
Nippletop
Nippletop is a prominent Adirondack High Peak in New York’s High Peaks Wilderness, known for its steep ascent and expansive summit views.
-
C.
Trottiera
Trottiera is one of the traditional bells housed in St Mark's Campanile in Venice, historically used to signal specific civic or religious events.
-
D.
Biskinik
Biskinik is the official newspaper of the Choctaw Nation, providing news, cultural information, and community updates for Choctaw citizens.
-
E.
Wacoal
Wacoal is a Japanese company best known as a leading manufacturer and retailer of women's lingerie and intimate apparel.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8762b048190a0b262f9cb3fe1b0 |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f1d1e148190be015c62ae1ea1e8 |
completed | March 28, 2026, 9:58 p.m. |
| NEDg | Description generation | batch_69c84fe59f24819094e11378ed57963f |
completed | March 28, 2026, 10:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8506a7f4c8190be0f97e434bbeed7 |
completed | March 28, 2026, 10:04 p.m. |
Created at: March 27, 2026, 3:48 p.m.