Triple
T17056179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dakar Department |
E413825
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ngor |
E1223514
|
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: Ngor | Statement: [Dakar Department, contains, Ngor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngor Context triple: [Dakar Department, contains, Ngor]
-
A.
Ngor
chosen
Ngor is a coastal neighborhood and commune in Dakar, Senegal, known for its fishing community and the nearby Ngor Island surf spot.
-
B.
Ngong
Ngong is a town on the outskirts of Nairobi in Kenya, known for the nearby Ngong Hills and its scenic views over the Great Rift Valley.
-
C.
Muhoroni
Muhoroni is a town in western Kenya known for its sugar industry and location in the former Nyando District of Kisumu County.
-
D.
Kiunga
Kiunga is a genus of small, freshwater blue-eye fishes native to New Guinea, belonging to the family Pseudomugilidae.
-
E.
Kiunga
Kiunga is a river port town in Western Province, Papua New Guinea, serving as a key commercial and transport hub on the Fly River.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7934e881909e9f0ae956fb0816 |
completed | April 18, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012346bcfc819093cd922baa94e186 |
completed | May 11, 2026, 12:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.