Triple
T4739594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of Venice |
E105205
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object |
zecchino
The zecchino was a renowned Venetian gold coin widely used in Mediterranean and European trade from the late Middle Ages onward.
|
E467129
|
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: zecchino | Statement: [Republic of Venice, currency, zecchino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: zecchino Context triple: [Republic of Venice, currency, zecchino]
-
A.
Scheggino
Scheggino is a small historic village in the Umbria region of central Italy, known for its medieval architecture and scenic riverside setting.
-
B.
Vinzelles
Vinzelles is a small wine-producing village in France’s Mâconnais region, known for its white Burgundy wines made primarily from Chardonnay.
-
C.
Zaba
Zaba is the debut studio album by English indie rock band Glass Animals, noted for its lush, tropical soundscapes and atmospheric production.
-
D.
Zurer
Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
-
E.
Tredozio
Tredozio is a small Italian municipality in the Emilia-Romagna region, known for its scenic Apennine landscapes and traditional local festivals.
- 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: zecchino Triple: [Republic of Venice, currency, zecchino]
Generated description
The zecchino was a renowned Venetian gold coin widely used in Mediterranean and European trade from the late Middle Ages onward.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: zecchino Target entity description: The zecchino was a renowned Venetian gold coin widely used in Mediterranean and European trade from the late Middle Ages onward.
-
A.
Scheggino
Scheggino is a small historic village in the Umbria region of central Italy, known for its medieval architecture and scenic riverside setting.
-
B.
Vinzelles
Vinzelles is a small wine-producing village in France’s Mâconnais region, known for its white Burgundy wines made primarily from Chardonnay.
-
C.
Zaba
Zaba is the debut studio album by English indie rock band Glass Animals, noted for its lush, tropical soundscapes and atmospheric production.
-
D.
Zurer
Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
-
E.
Tredozio
Tredozio is a small Italian municipality in the Emilia-Romagna region, known for its scenic Apennine landscapes and traditional local festivals.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6486f8608190908e43b777810c44 |
completed | March 20, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a1796608190972865b2f6beef05 |
completed | March 21, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_69be3d2063e48190afb3fdfd5ad6749f |
completed | March 21, 2026, 6:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be3d99a288819088e42e04de5c17a4 |
completed | March 21, 2026, 6:41 a.m. |
Created at: March 20, 2026, 1:19 p.m.