Triple
T15882838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Marga Marga |
E385115
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Marga Marga |
E385115
|
NE FINISHED |
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: Marga Marga | Statement: [Province of Marga Marga, namedAfter, Marga Marga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marga Marga Context triple: [Province of Marga Marga, namedAfter, Marga Marga]
-
A.
Marga Marga
chosen
Marga Marga is a river in central Chile whose name was adopted by the surrounding Province of Marga Marga.
-
B.
Marda Kunama
Marda Kunama is a regional dialect of the Kunama language spoken by the Kunama people of the Horn of Africa.
-
C.
Muthaiga
Muthaiga is an affluent residential suburb of Nairobi, Kenya, known for its upscale homes, diplomatic residences, and exclusive social clubs.
-
D.
The Jaulân
The Jaulân is a historical and geographical study by Gottlieb Schumacher that documents the landscape, archaeology, and settlements of the Golan region in the late 19th century.
-
E.
Manjai Kunda
Manjai Kunda is a residential neighborhood within the urban area of Serekunda in The Gambia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156173e248190901641d838ecb40f |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa95466e08190a967114821651e60 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.