Triple
T23228435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerigo |
E581077
|
entity |
| Predicate | alternativeNameForm |
P39
|
FINISHED |
| Object |
Cerigo (Italian form)
Cerigo (Italian form) is the Italian name for the Greek island of Kythira, historically used especially in Venetian and maritime contexts.
|
E1578827
|
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: Cerigo (Italian form) | Statement: [Cerigo, alternativeNameForm, Cerigo (Italian form)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cerigo (Italian form) Context triple: [Cerigo, alternativeNameForm, Cerigo (Italian form)]
-
A.
Caltagironesi
Caltagironesi are the inhabitants of Caltagirone, a Sicilian town renowned for its historic ceramics and baroque architecture.
-
B.
Cinigiano
Cinigiano is a small municipality in southern Tuscany, Italy, known for its rural landscapes, vineyards, and traditional agricultural economy.
-
C.
Louletano
Louletano is the Portuguese demonym used to refer to people or things originating from the city of Loulé in the Algarve region.
-
D.
Grande-Butera
Grande-Butera is the hyphenated surname of American singer and actress Ariana Grande, reflecting her Italian family heritage.
-
E.
Cérizet
Cérizet is a scheming, opportunistic former clerk who becomes a key antagonist in Honoré de Balzac’s novel "Les Souffrances de l’inventeur."
- 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: Cerigo (Italian form) Triple: [Cerigo, alternativeNameForm, Cerigo (Italian form)]
Generated description
Cerigo (Italian form) is the Italian name for the Greek island of Kythira, historically used especially in Venetian and maritime contexts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cerigo (Italian form) Target entity description: Cerigo (Italian form) is the Italian name for the Greek island of Kythira, historically used especially in Venetian and maritime contexts.
-
A.
Caltagironesi
Caltagironesi are the inhabitants of Caltagirone, a Sicilian town renowned for its historic ceramics and baroque architecture.
-
B.
Cinigiano
Cinigiano is a small municipality in southern Tuscany, Italy, known for its rural landscapes, vineyards, and traditional agricultural economy.
-
C.
Louletano
Louletano is the Portuguese demonym used to refer to people or things originating from the city of Loulé in the Algarve region.
-
D.
Grande-Butera
Grande-Butera is the hyphenated surname of American singer and actress Ariana Grande, reflecting her Italian family heritage.
-
E.
Cérizet
Cérizet is a scheming, opportunistic former clerk who becomes a key antagonist in Honoré de Balzac’s novel "Les Souffrances de l’inventeur."
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192302e508190b286c284a261f172 |
completed | April 29, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f55c95081909db75c19bc905c93 |
completed | May 19, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_6a0c4028b44c8190bde6e2c76b5f1587 |
completed | May 19, 2026, 10:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c4367753c8190a4f6dbf2afd12b76 |
completed | May 19, 2026, 11:03 a.m. |
Created at: April 17, 2026, 4:09 p.m.