Triple
T2942623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corfu (city) |
E79422
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Liston
Liston is a famous arcaded promenade and square in Corfu city, known for its elegant French-style architecture and vibrant cafés.
|
E311425
|
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: Liston | Statement: [Corfu (city), hasPart, Liston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liston Context triple: [Corfu (city), hasPart, Liston]
-
A.
Lamon
Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
-
B.
Peenestrom
Peenestrom is a strait in northeastern Germany that connects the Szczecin Lagoon with the Baltic Sea and separates the island of Usedom from the mainland.
-
C.
Waimes
Waimes is a municipality in the predominantly French-speaking region of Wallonia in eastern Belgium, known for its rural landscapes and proximity to the High Fens nature reserve.
-
D.
Will Poole
Will Poole is an American technology executive and impact investor known for his leadership roles at Microsoft and his work in social entrepreneurship and inclusive innovation.
-
E.
Baines
Baines is the middle name of Lyndon B. Johnson, the 36th president of the United States.
- 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: Liston Triple: [Corfu (city), hasPart, Liston]
Generated description
Liston is a famous arcaded promenade and square in Corfu city, known for its elegant French-style architecture and vibrant cafés.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liston Target entity description: Liston is a famous arcaded promenade and square in Corfu city, known for its elegant French-style architecture and vibrant cafés.
-
A.
Lamon
Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
-
B.
Peenestrom
Peenestrom is a strait in northeastern Germany that connects the Szczecin Lagoon with the Baltic Sea and separates the island of Usedom from the mainland.
-
C.
Waimes
Waimes is a municipality in the predominantly French-speaking region of Wallonia in eastern Belgium, known for its rural landscapes and proximity to the High Fens nature reserve.
-
D.
Will Poole
Will Poole is an American technology executive and impact investor known for his leadership roles at Microsoft and his work in social entrepreneurship and inclusive innovation.
-
E.
Baines
Baines is the middle name of Lyndon B. Johnson, the 36th president of the United States.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9871fc908190ad90e5b01b476b3f |
completed | March 8, 2026, 3:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b08689ec3481909d9f039069ff19c7 |
completed | March 10, 2026, 9 p.m. |
| NEDg | Description generation | batch_69b0d241c7088190b440a47f4af54fbb |
completed | March 11, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0d6466e848190bea4215cc9d358c7 |
completed | March 11, 2026, 2:41 a.m. |
Created at: March 8, 2026, 2:56 p.m.