Triple
T34570487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wallabout Bay burial pits |
E887610
|
entity |
| Predicate | victimsAllegiance |
P58514
|
FINISHED |
| Object | Continental cause |
—
|
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: Continental cause | Statement: [Wallabout Bay burial pits, victimsAllegiance, Continental cause]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victimsAllegiance Context triple: [Wallabout Bay burial pits, victimsAllegiance, Continental cause]
-
A.
belligerentSideOfVictims
chosen
Indicates that the referenced party is the side or faction to which the victims in a conflict or hostile situation belong.
-
B.
perpetratorAllegiance
Indicates that the perpetrator is affiliated with, loyal to, or acting on behalf of a particular group, organization, or cause.
-
C.
hasPoliticalAlignmentOfVictims
Indicates that an entity is associated with victims characterized by a particular political alignment.
-
D.
hasVictimNationalities
Indicates that an event, incident, or action involved victims belonging to one or more specified nationalities.
-
E.
notableVictimNationality
Indicates that the relationship specifies the nationality of a notable victim associated with an event, incident, or action.
- 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_69f349d1a5fc81908557a46875b2f157 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f727bde8f88190ad746ca515134ca1 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72739c30c81908642eef3feb3afcf |
completed | May 3, 2026, 10:45 a.m. |
Created at: May 1, 2026, 2:02 a.m.