Triple
T35170272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwest geopolitical zone of Nigeria |
E1015526
|
entity |
| Predicate | largestCityInZone |
P235
|
FINISHED |
| Object | Lagos |
—
|
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: Lagos | Statement: [Southwest geopolitical zone of Nigeria, largestCityInZone, Lagos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestCityInZone Context triple: [Southwest geopolitical zone of Nigeria, largestCityInZone, Lagos]
-
A.
largestCity
chosen
Indicates that one city is the most populous or significant urban center within a specified region or entity.
-
B.
largestCityOnItsEdge
Indicates that one city is the largest (by some measure, typically population) among all cities located on the boundary or edge of a given region or area.
-
C.
largestMetropolitanArea
Indicates that one entity is the largest metropolitan area associated with, contained within, or relevant to another entity, typically by population or spatial extent.
-
D.
nearestLargeUrbanArea
Indicates that one entity is the closest major city or large urban center to the other entity.
-
E.
largestCityPartiallyIn
Indicates that one entity is the largest city that lies at least partly within the boundaries of another entity.
- 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_69f76ddbfde081908bffc91572368289 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78d3b0f0c81908e45789816ab70b4 |
completed | May 3, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.