Triple
T5168964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asiento granted to Britain |
E116626
|
entity |
| Predicate | involvedCrimeAgainstHumanity |
P16958
|
FINISHED |
| Object | chattel slavery |
—
|
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: chattel slavery | Statement: [Asiento granted to Britain, involvedCrimeAgainstHumanity, chattel slavery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvedCrimeAgainstHumanity Context triple: [Asiento granted to Britain, involvedCrimeAgainstHumanity, chattel slavery]
-
A.
associatedWithCrimesAgainstHumanity
chosen
Indicates a relationship in which an entity is linked or connected to the planning, commission, support, or responsibility for crimes against humanity.
-
B.
warCrimesContext
Indicates a context in which actions or events are associated with the commission, investigation, or adjudication of war crimes.
-
C.
committedCrime
Indicates that an entity has carried out or been responsible for a criminal act or offense.
-
D.
consideredCriminalBy
Indicates that one party regards or classifies another party as a criminal according to its own laws, rules, or judgments.
-
E.
isCriminalizedIn
Indicates that a specific behavior, action, or condition is prohibited and subject to legal penalties within a particular jurisdiction or legal system.
- 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd794dd9988190922e138f2a9a3c62 |
completed | March 20, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69bd77b36c008190b91011a9fa52b3d2 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:45 p.m.