Triple
T13834541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kongo |
E332489
|
entity |
| Predicate | wasMajorPolityBetweenCenturies |
P111690
|
FINISHED |
| Object | 15th–19th centuries |
—
|
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: 15th–19th centuries | Statement: [Kongo, wasMajorPolityBetweenCenturies, 15th–19th centuries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasMajorPolityBetweenCenturies Context triple: [Kongo, wasMajorPolityBetweenCenturies, 15th–19th centuries]
-
A.
hasHistoricalPolity
Indicates a relationship where an entity is associated with a political unit or state that existed in the past.
-
B.
usedInHistoricalPolity
Indicates that something (such as a name, title, or term) was employed or attested within the context of a specific historical polity or political entity.
-
C.
occupationPeriod
Indicates the time span during which an entity holds or held a particular occupation or role.
-
D.
hasMajorDynasty
Indicates that an entity (such as a region, state, or historical period) is associated with or ruled by a particular major dynasty.
-
E.
ruledUntilCentury
Indicates that a ruling relationship held by an entity continued in effect up to (but not necessarily including) a specified century.
- F. None of above. chosen
Provenance (4 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de029a34bc8190ae892ef7b09fc9e9 |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:13 p.m.