Triple
T35459950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Central geopolitical zone of Nigeria |
E1024886
|
entity |
| Predicate | capitalCityOfCountryLocatedInZone |
P167092
|
FINISHED |
| Object | Abuja |
—
|
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: Abuja | Statement: [North Central geopolitical zone of Nigeria, capitalCityOfCountryLocatedInZone, Abuja]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalCityOfCountryLocatedInZone Context triple: [North Central geopolitical zone of Nigeria, capitalCityOfCountryLocatedInZone, Abuja]
-
A.
capitalCityLocatedInZone
Indicates that a capital city is geographically situated within a specified zone or area.
-
B.
capitalOftenLocatedIn
Indicates that the capital city of a region or country is frequently, though not always, situated within a particular location or type of area.
-
C.
capitalOfGoverningCountry
Indicates that a city serves as the capital of the country that governs a given territory or region.
-
D.
capitalLocatedInRegion
chosen
Indicates that a capital city is geographically situated within a specific region.
-
E.
capitalCityOfCountry
Indicates that a city serves as the official capital of a specified country.
- 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_69f76df92f108190817222e520e22268 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: May 3, 2026, 4:04 p.m.