Triple
T22824152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tana |
E565305
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Rova of Antananarivo |
—
|
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: Rova of Antananarivo | Statement: [Tana, hasLandmark, Rova of Antananarivo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rova of Antananarivo Context triple: [Tana, hasLandmark, Rova of Antananarivo]
-
A.
Rova of Antananarivo
chosen
The Rova of Antananarivo is a historic royal palace complex that served as the political and spiritual center of the Merina monarchy in Madagascar.
-
B.
Razafinkarefo
Razafinkarefo is the original Malagasy family name of American lyricist and poet Andy Razaf, reflecting his Malagasy royal heritage.
-
C.
Fianarantsoa
Fianarantsoa is a major city in south-central Madagascar known as a cultural and educational hub and a gateway to the island’s highland wine and tea regions.
-
D.
Hatosy
Hatosy is the surname of American actor and director Shawn Hatosy, known for his roles in film and television dramas.
-
E.
Ambatolampy
Ambatolampy is a town in Madagascar known for its cool highland climate and its metalworking industry, particularly aluminum cookware production.
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dd34a248190881f2bccdd9aedce |
completed | April 29, 2026, 3:41 a.m. |
Created at: April 17, 2026, 3:34 p.m.