Triple
T2095300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cupertino |
E32765
|
entity |
| Predicate | hasSisterCity |
P919
|
FINISHED |
| Object |
Copertino
Copertino is a historic town in Italy’s Apulia region, known for its medieval castle and as the birthplace of Saint Joseph of Cupertino.
|
E234898
|
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: Copertino | Statement: [Cupertino, hasSisterCity, Copertino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Copertino Context triple: [Cupertino, hasSisterCity, Copertino]
-
A.
Lodi
Lodi is a city in California’s Central Valley known for its extensive wine grape production and growing reputation as a major wine region.
-
B.
Kingsburg
Kingsburg is a small, historically Swedish-themed city in California’s San Joaquin Valley known for its agricultural community and distinctive Scandinavian character.
-
C.
Milford
Milford is a coastal city in southern Connecticut known for its beaches and harbors along Long Island Sound.
-
D.
Milford
Milford is a village in Surrey, England, situated near the town of Godalming.
-
E.
Twain Harte
Twain Harte is a small mountain resort town in California’s Sierra Nevada known for its pine forests, outdoor recreation, and proximity to Yosemite National Park.
- 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: Copertino Triple: [Cupertino, hasSisterCity, Copertino]
Generated description
Copertino is a historic town in Italy’s Apulia region, known for its medieval castle and as the birthplace of Saint Joseph of Cupertino.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Copertino Target entity description: Copertino is a historic town in Italy’s Apulia region, known for its medieval castle and as the birthplace of Saint Joseph of Cupertino.
-
A.
Lodi
Lodi is a city in California’s Central Valley known for its extensive wine grape production and growing reputation as a major wine region.
-
B.
Kingsburg
Kingsburg is a small, historically Swedish-themed city in California’s San Joaquin Valley known for its agricultural community and distinctive Scandinavian character.
-
C.
Milford
Milford is a coastal city in southern Connecticut known for its beaches and harbors along Long Island Sound.
-
D.
Milford
Milford is a village in Surrey, England, situated near the town of Godalming.
-
E.
Twain Harte
Twain Harte is a small mountain resort town in California’s Sierra Nevada known for its pine forests, outdoor recreation, and proximity to Yosemite National Park.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba99ddc48190bb2097b56efb7aca |
completed | March 7, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae305cb77c819085c4f3eb2223f749 |
completed | March 9, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69ae30f6b7c4819080cb7cb7adc1f6d3 |
completed | March 9, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae31871d408190a4ae64372660fa79 |
completed | March 9, 2026, 2:33 a.m. |
Created at: March 4, 2026, 7:43 p.m.