Triple
T22810593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meena |
E564660
|
entity |
| Predicate | livesIn |
P40
|
FINISHED |
| Object | Calatonia |
—
|
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: Calatonia | Statement: [Meena, livesIn, Calatonia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calatonia Context triple: [Meena, livesIn, Calatonia]
-
A.
Calatonia
chosen
Calatonia is a fictional city known as the setting for the Moon Theater.
-
B.
Aragon
Aragon is an autonomous community in northeastern Spain, historically significant as a former kingdom and as a key battleground region during major conflicts such as the Spanish Civil War.
-
C.
Catalonia
Catalonia is an autonomous community in northeastern Spain with a distinct Catalan language and culture, a strong regional identity, and Barcelona as its capital.
-
D.
Catalogne Nord
Catalogne Nord is a region in southern France with strong historical and cultural ties to Catalonia, known for its Catalan language heritage and distinct identity within the Pyrénées-Orientales department.
-
E.
Ibéria
Ibéria is the central movement of Claude Debussy’s orchestral triptych "Images pour orchestre," evoking the atmosphere and rhythms of Spain through impressionistic orchestration.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d60186881908f6cb609c536dc91 |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:32 p.m.