Triple
T23228391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kithira |
E581076
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Cerigo |
—
|
NE NERFINISHED |
How this triple was built (2 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 | Statement: [Kithira, alsoKnownAs, Cerigo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cerigo Context triple: [Kithira, alsoKnownAs, Cerigo]
-
A.
Cerigo
chosen
Cerigo is the historical Venetian name for the Greek island of Kythira, located off the southern tip of the Peloponnese.
-
B.
Nogaro
Nogaro is a small commune in southwestern France’s Gers department, known for its motor racing circuit and Armagnac-producing countryside.
-
C.
Baillou
Baillou is a small commune in the Loir-et-Cher department of central France.
-
D.
Port-Menier
Port-Menier is the main village and only significant settlement on Quebec’s remote Anticosti Island, serving as its administrative and service hub.
-
E.
Woluwe-Saint-Pierre
Woluwe-Saint-Pierre is a largely residential, affluent municipality in the Brussels-Capital Region of Belgium, known for its green spaces and quiet, suburban character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 17, 2026, 4:09 p.m.