Triple
T2171173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Mark's Campanile |
E48427
|
entity |
| Predicate | bellNames |
P27995
|
FINISHED |
| Object |
Renghiera
Renghiera is one of the historic bells housed in St Mark's Campanile in Venice, traditionally used for civic and religious signaling.
|
E239260
|
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: Renghiera | Statement: [St Mark's Campanile, bellNames, Renghiera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renghiera Context triple: [St Mark's Campanile, bellNames, Renghiera]
-
A.
Bardaï
Bardaï is a remote oasis town in northern Chad that serves as an important administrative and cultural center in the Tibesti region.
-
B.
Moruya
Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
-
C.
Yoron
Yoron is a small subtropical island town in Japan’s Kagoshima Prefecture, known for its coral reefs, white-sand beaches, and traditional Ryukyuan-influenced culture.
-
D.
Auron
Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
-
E.
Grimus
Grimus is Salman Rushdie’s debut novel, a genre-blending work of science fiction and fantasy that explores themes of identity, immortality, and exile.
- 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: Renghiera Triple: [St Mark's Campanile, bellNames, Renghiera]
Generated description
Renghiera is one of the historic bells housed in St Mark's Campanile in Venice, traditionally used for civic and religious signaling.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Renghiera Target entity description: Renghiera is one of the historic bells housed in St Mark's Campanile in Venice, traditionally used for civic and religious signaling.
-
A.
Bardaï
Bardaï is a remote oasis town in northern Chad that serves as an important administrative and cultural center in the Tibesti region.
-
B.
Moruya
Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
-
C.
Yoron
Yoron is a small subtropical island town in Japan’s Kagoshima Prefecture, known for its coral reefs, white-sand beaches, and traditional Ryukyuan-influenced culture.
-
D.
Auron
Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
-
E.
Grimus
Grimus is Salman Rushdie’s debut novel, a genre-blending work of science fiction and fantasy that explores themes of identity, immortality, and exile.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc5af20808190902031d8c0bba376 |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58f511a08190880fbde8900d59df |
completed | March 9, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69ae59a9b010819081491e988184b386 |
completed | March 9, 2026, 5:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5a12f11c81908cc345905f0a485e |
completed | March 9, 2026, 5:26 a.m. |
Created at: March 4, 2026, 7:45 p.m.