Triple
T24181722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Komenda |
E599442
|
entity |
| Predicate | municipalCapitalOf |
P15001
|
FINISHED |
| Object | Komenda-Edina-Eguafo-Abrem Municipal District |
—
|
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: Komenda-Edina-Eguafo-Abrem Municipal District | Statement: [Komenda, municipalCapitalOf, Komenda-Edina-Eguafo-Abrem Municipal District]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: municipalCapitalOf Context triple: [Komenda, municipalCapitalOf, Komenda-Edina-Eguafo-Abrem Municipal District]
-
A.
countryCapitalOfMunicipality
Indicates that a country serves as the capital or primary administrative seat of a specified municipality.
-
B.
cityAsCapitalOf
Indicates that a city serves as the official capital of a specified political or administrative entity.
-
C.
isDistrictCapitalOf
chosen
Indicates that a location serves as the administrative or governmental capital of a specified district.
-
D.
principalCityOf
Indicates that a city serves as the main or most important city (often administrative, economic, or cultural center) of a specified region or area.
-
E.
regionCapital
Indicates that one entity is the capital city or administrative center of a specified region.
- 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_69e288cca05481908faeb1563711114a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:34 p.m.