Triple
T13925935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mizos |
E334860
|
entity |
| Predicate | conversionHistory |
P102160
|
FINISHED |
| Object | large-scale conversion to Christianity in late 19th and early 20th 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: large-scale conversion to Christianity in late 19th and early 20th centuries | Statement: [Mizos, conversionHistory, large-scale conversion to Christianity in late 19th and early 20th centuries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionHistory Context triple: [Mizos, conversionHistory, large-scale conversion to Christianity in late 19th and early 20th centuries]
-
A.
historicalConversionFrom
chosen
Indicates a relationship where one entity was converted or transformed into another in the past, capturing a former state-to-state change over time.
-
B.
promotionHistory
Indicates the sequence of past promotions or advancement events that have occurred for an entity over time.
-
C.
estimatedHistory
Indicates that there is an inferred or approximated record of past states, events, or values associated with an entity or relationship.
-
D.
operatorHistory
Indicates a record of past actions, states, or changes associated with a particular operator over time.
-
E.
ownershipHistory
Indicates the sequence of past and present owners associated with an entity over time.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa7e9248190b0523415b9224e2f |
completed | April 14, 2026, 11:53 a.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:16 p.m.