Triple
T14573853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nivelles |
E341986
|
entity |
| Predicate | hasHistoricalBuilding |
P1098
|
FINISHED |
| Object |
Tour Simone
Tour Simone is a historic tower in the Belgian city of Nivelles, notable as part of the town’s medieval architectural heritage.
|
E1105845
|
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: Tour Simone | Statement: [Nivelles, hasHistoricalBuilding, Tour Simone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tour Simone Context triple: [Nivelles, hasHistoricalBuilding, Tour Simone]
-
A.
Simone Tata
Simone Tata is an Indian businesswoman best known for transforming Lakmé into a leading cosmetics brand and playing a key role in the Tata Group’s consumer business expansion.
-
B.
Simoni
Simoni is an Italian surname most notably associated with Gigi Simoni, a respected former football player and manager.
-
C.
Simona
Simona is a feminine given name commonly used in various European and Latin cultures, often associated with the female form of Simon.
-
D.
Simone
Simone is a feminine given name of Hebrew origin meaning "hearkening" or "one who listens," widely used across various cultures.
-
E.
Simone
Simone is a 2002 satirical science fiction film written and directed by Andrew Niccol about a digitally created actress who becomes a global sensation.
- 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: Tour Simone Triple: [Nivelles, hasHistoricalBuilding, Tour Simone]
Generated description
Tour Simone is a historic tower in the Belgian city of Nivelles, notable as part of the town’s medieval architectural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tour Simone Target entity description: Tour Simone is a historic tower in the Belgian city of Nivelles, notable as part of the town’s medieval architectural heritage.
-
A.
Simone Tata
Simone Tata is an Indian businesswoman best known for transforming Lakmé into a leading cosmetics brand and playing a key role in the Tata Group’s consumer business expansion.
-
B.
Simoni
Simoni is an Italian surname most notably associated with Gigi Simoni, a respected former football player and manager.
-
C.
Simona
Simona is a feminine given name commonly used in various European and Latin cultures, often associated with the female form of Simon.
-
D.
Simone
Simone is a feminine given name of Hebrew origin meaning "hearkening" or "one who listens," widely used across various cultures.
-
E.
Simone
Simone is a 2002 satirical science fiction film written and directed by Andrew Niccol about a digitally created actress who becomes a global sensation.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f49d58819094fcd2a702e146cb |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8acc788081909c41905785fa9a29 |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8be7d8988190807d4db477b91de0 |
completed | May 8, 2026, 7:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8d506df4819092b52b0dde04bb4d |
completed | May 8, 2026, 7:14 a.m. |
Created at: April 10, 2026, 1:24 a.m.