Triple
T10987737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingiloys |
E259672
|
entity |
| Predicate | conversionTrend |
P85783
|
FINISHED |
| Object | Islamization in the 17th–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: Islamization in the 17th–19th centuries | Statement: [Ingiloys, conversionTrend, Islamization in the 17th–19th centuries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionTrend Context triple: [Ingiloys, conversionTrend, Islamization in the 17th–19th centuries]
-
A.
conversionTarget
Indicates that one entity serves as the intended outcome, goal, or result that another entity is meant to be converted or transformed into.
-
B.
conversionUse
Indicates that one entity is used as a means, method, or context for converting another entity from one form, state, or representation to another.
-
C.
conversionNarratives
Indicates a relationship where one or more entities describe, recount, or frame the process and experience of undergoing a conversion or significant change.
-
D.
conversionWave
chosen
Indicates a process in which changes or transformations spread through entities or states in a sequential, wave-like manner.
-
E.
conversionEvent
Indicates that a user or entity has completed a desired target action (such as a purchase, signup, or other goal) that counts as a successful conversion.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b3c8388190be77e95d56979a7f |
completed | April 9, 2026, 11:04 a.m. |
| PD | Predicate disambiguation | batch_69d72e9055908190b438f039574aaaaf |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:24 p.m.