Triple
T34570486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wallabout Bay burial pits |
E887610
|
entity |
| Predicate | victimsStatus |
P20433
|
FINISHED |
| Object | prisoners of war |
—
|
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: prisoners of war | Statement: [Wallabout Bay burial pits, victimsStatus, prisoners of war]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victimsStatus Context triple: [Wallabout Bay burial pits, victimsStatus, prisoners of war]
-
A.
legalStatusOfVictims
chosen
Indicates the legal classification or condition of the victims in relation to the event or action described.
-
B.
victimStatus
Indicates the condition or state of a person who has been harmed or wronged as a result of an event, action, or offense.
-
C.
hasVictims
Indicates that an entity has one or more individuals who have been harmed, injured, or adversely affected by it.
-
D.
hasTypeOfVictims
Indicates that an entity is associated with victims of a specified type or category.
-
E.
victimsOfCrime
Indicates that the subject has suffered harm or loss as a result of a criminal act committed by the object.
- 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_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:02 a.m.