Triple
T8651435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Vicenza |
E205107
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Arsiero
Arsiero is a small town and comune in northeastern Italy, situated in the Veneto region within the Province of Vicenza.
|
E749746
|
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: Arsiero | Statement: [Province of Vicenza, contains, Arsiero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arsiero Context triple: [Province of Vicenza, contains, Arsiero]
-
A.
Coronel
Coronel is a coastal city in south-central Chile known for its historic coal-mining industry and fishing activities along the Pacific Ocean.
-
B.
Commodore
Commodore was a pioneering computer company best known for its influential home computers like the Commodore 64 and the Amiga line.
-
C.
Gourette
Gourette is a French mountain ski resort village in the Pyrenees, known for its alpine slopes and scenic high-altitude setting.
-
D.
Commodore Hansteen
Commodore Hansteen is a fictional senior space-rescue officer in Arthur C. Clarke’s science fiction novel "A Fall of Moondust."
-
E.
Admiral Shane
Admiral Shane is a high-ranking U.S. Navy officer and key military leader in the science fiction action film "Battleship."
- 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: Arsiero Triple: [Province of Vicenza, contains, Arsiero]
Generated description
Arsiero is a small town and comune in northeastern Italy, situated in the Veneto region within the Province of Vicenza.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arsiero Target entity description: Arsiero is a small town and comune in northeastern Italy, situated in the Veneto region within the Province of Vicenza.
-
A.
Coronel
Coronel is a coastal city in south-central Chile known for its historic coal-mining industry and fishing activities along the Pacific Ocean.
-
B.
Commodore
Commodore was a pioneering computer company best known for its influential home computers like the Commodore 64 and the Amiga line.
-
C.
Gourette
Gourette is a French mountain ski resort village in the Pyrenees, known for its alpine slopes and scenic high-altitude setting.
-
D.
Commodore Hansteen
Commodore Hansteen is a fictional senior space-rescue officer in Arthur C. Clarke’s science fiction novel "A Fall of Moondust."
-
E.
Admiral Shane
Admiral Shane is a high-ranking U.S. Navy officer and key military leader in the science fiction action film "Battleship."
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48150e6c8190a7a3b92b4b640858 |
completed | March 31, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccc95b588190b5e44c73cf93d18b |
completed | April 2, 2026, 8:08 p.m. |
| NEDg | Description generation | batch_69cece1681288190a6c99407bc2f0bdd |
completed | April 2, 2026, 8:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecec118ac81909fbcafe841354c32 |
completed | April 2, 2026, 8:17 p.m. |
Created at: March 30, 2026, 6:29 p.m.