Triple
T23205590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu'l-Misk Kafur |
E580443
|
entity |
| Predicate | socialMobilityExample |
P58133
|
FINISHED |
| Object | rise from slavery to rulership |
—
|
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: rise from slavery to rulership | Statement: [Abu'l-Misk Kafur, socialMobilityExample, rise from slavery to rulership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialMobilityExample Context triple: [Abu'l-Misk Kafur, socialMobilityExample, rise from slavery to rulership]
-
A.
socialMobility
chosen
Indicates the degree to which individuals or groups can move between different social or economic status levels within a society over time.
-
B.
socialComposition
Indicates the makeup or distribution of different social groups or categories within a population or community.
-
C.
visitorFrequency
Indicates how often a visitor comes to or interacts with a particular entity or location.
-
D.
socialOrganizationCharacterization
Indicates how an entity is characterized in terms of its social organization, such as its structure, hierarchy, or social grouping.
-
E.
socialView
Indicates a relationship where one entity views, accesses, or inspects another entity’s social-related information, profile, or activity.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907c1d7c8190aca252a39ae0da86 |
completed | April 29, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:07 p.m.