Triple
T22524480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Antananarivo |
E556863
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Antananarivo metropolitan area |
—
|
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: Antananarivo metropolitan area | Statement: [University of Antananarivo, regionServed, Antananarivo metropolitan area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antananarivo metropolitan area Context triple: [University of Antananarivo, regionServed, Antananarivo metropolitan area]
-
A.
Antananarivo
chosen
Antananarivo is the capital and largest city of Madagascar, serving as its political, economic, and cultural center.
-
B.
Toamasina
Toamasina is a major port city on Madagascar’s east coast and one of the country’s key commercial and transport hubs.
-
C.
Rova of Antananarivo
The Rova of Antananarivo is a historic royal palace complex that served as the political and spiritual center of the Merina monarchy in Madagascar.
-
D.
Antsirabe
Antsirabe is a highland city in central Madagascar known for its cool climate, thermal springs, and colonial-era architecture.
-
E.
Bidassoa
Bidassoa is a river in the western Pyrenees that forms part of the border between France and Spain before flowing into the Bay of Biscay.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e34590c81909e4ed1c95f13a199 |
completed | April 29, 2026, 1:26 a.m. |
Created at: April 16, 2026, 8:51 p.m.