Triple
T13743492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Spark |
E330152
|
entity |
| Predicate | workSettingContext |
P15236
|
FINISHED |
| Object | precolonial 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: precolonial Nigeria | Statement: [The Spark, workSettingContext, precolonial Nigeria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workSettingContext Context triple: [The Spark, workSettingContext, precolonial Nigeria]
-
A.
workSetting
Indicates the environment, context, or conditions in which the work or activity is carried out.
-
B.
workSettingPeriod
Indicates the time period during which a particular work setting or employment context is in effect.
-
C.
workScope
Indicates the defined range, extent, and boundaries of tasks or responsibilities involved in a particular work activity or project.
-
D.
settingOfWork
chosen
Indicates the place, time, or environment in which a creative work’s narrative or events are situated.
-
E.
primaryWorkContext
Indicates the main environment, setting, or domain in which an entity typically performs its work or primary activities.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de020855ec8190a60fa1cb761f2e68 |
completed | April 14, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:55 p.m.