Triple
T21636175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bealanana District |
E533963
|
entity |
| Predicate | hasHighestPoint |
P210
|
FINISHED |
| Object | Maromokotro |
—
|
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: Maromokotro | Statement: [Bealanana District, hasHighestPoint, Maromokotro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maromokotro Context triple: [Bealanana District, hasHighestPoint, Maromokotro]
-
A.
Maromokotro
chosen
Maromokotro is the tallest mountain in Madagascar, located in the island’s northern highlands.
-
B.
Hatosy
Hatosy is the surname of American actor and director Shawn Hatosy, known for his roles in film and television dramas.
-
C.
Mahafaly Malagasy
Mahafaly Malagasy is a regional variety of the Malagasy language spoken primarily by the Mahafaly people in southwestern Madagascar.
-
D.
Tabontabon
Tabontabon is a small municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
-
E.
Rahaita
Rahaita is a settlement located in Eritrea's Southern Red Sea Region, along the country's arid Red Sea coastal area.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef538ddb088190a3cba6fdc84c0ae8 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:35 p.m.