Triple
T16607074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collines des Mamelles |
E403471
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Ouakam |
E403472
|
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: Ouakam | Statement: [Collines des Mamelles, near, Ouakam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ouakam Context triple: [Collines des Mamelles, near, Ouakam]
-
A.
Ouakam
chosen
Ouakam is a coastal district of Dakar, Senegal, known for its historic fishing community, military installations, and prominent location beneath the African Renaissance Monument.
-
B.
Ogna
Ogna is a river in Trøndelag county, Norway, known for flowing through the municipality of Steinkjer.
-
C.
Olema
Olema is a small unincorporated community in Marin County, California, known as a gateway to Point Reyes National Seashore and the surrounding coastal countryside.
-
D.
Iaru
Iaru is the ancient Egyptian paradise-like afterlife realm, often depicted as fertile reed fields where the blessed dead live eternally.
-
E.
Owaka
Owaka is a small rural town in New Zealand’s Catlins region, known as a gateway to the area’s rugged coastline and native forests.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36091de048190b40aa42b1a0681cc |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075a8a6248190a9e2bb469d821c66 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:17 a.m.