Triple
T33017300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Moses |
E844811
|
entity |
| Predicate | ethnicGroupOfLedRefugees |
P135185
|
FINISHED |
| Object | Black Loyalists |
—
|
NE NERFINISHED |
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: Black Loyalists | Statement: [Old Moses, ethnicGroupOfLedRefugees, Black Loyalists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicGroupOfLedRefugees Context triple: [Old Moses, ethnicGroupOfLedRefugees, Black Loyalists]
-
A.
primaryRefugeeGroup
Indicates that the referenced group is the main or principal group of refugees associated with a particular context, event, or record.
-
B.
ethnicGroupHelped
Indicates that one ethnic group provided assistance or support to another entity or group.
-
C.
ethnicGroupInFocus
chosen
Indicates that a particular ethnic group is the primary subject or focal point within a given context, relation, or description.
-
D.
wasRefugee
Indicates that an entity previously lived as a refugee, having been forced to leave their home country due to conflict, persecution, or disaster.
-
E.
ethnicRulingGroup
Indicates that a particular ethnic group holds primary political power or governing authority over a state or territory.
- 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_69f3494f3b4081909dccf2af34372a26 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 1, 2026, 1:23 a.m.