Triple
T12099434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sangotedo |
E288151
|
entity |
| Predicate | coastalProximity |
P17623
|
FINISHED |
| Object | near Atlantic coast of Nigeria |
—
|
LITERAL 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: near Atlantic coast of Nigeria | Statement: [Sangotedo, coastalProximity, near Atlantic coast of Nigeria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coastalProximity Context triple: [Sangotedo, coastalProximity, near Atlantic coast of Nigeria]
-
A.
hasNearbyCoast
chosen
Indicates that one location is situated close to a coastline or seashore.
-
B.
distanceFromCoast
Indicates the measured spatial separation between a location and the nearest point on a coastline.
-
C.
isCoastalOn
Indicates that one entity is located along or directly borders the coastline of another entity (such as a body of water or sea).
-
D.
isCoastalArea
Indicates that a given area is located along or directly adjacent to a sea or ocean coastline.
-
E.
basedOnCoast
Indicates that something is situated along, adjacent to, or directly influenced by a coastline.
- F. None of above.
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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.