Triple
T37211239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gregor MacGregor |
E922307
|
entity |
| Predicate | fraudScheme |
P127624
|
FINISHED |
| Object | sale of land certificates for Poyais |
—
|
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: sale of land certificates for Poyais | Statement: [Gregor MacGregor, fraudScheme, sale of land certificates for Poyais]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fraudScheme Context triple: [Gregor MacGregor, fraudScheme, sale of land certificates for Poyais]
-
A.
definesFraudByFalseRepresentationIn
Indicates that an entity establishes or specifies what constitutes fraud by false representation within a particular legal system, context, or jurisdiction.
-
B.
methodOfMurderScheme
Indicates the specific method or scheme by which a murder is carried out in a given situation or plan.
-
C.
typeOfDeception
Indicates the specific kind or category of deceptive act that one entity employs toward another or in a given context.
-
D.
usedMeansOfDeception
chosen
Indicates that one entity employed a particular method or tool specifically to deceive another entity.
-
E.
frameForCrime
Indicates causing someone to be falsely perceived or officially treated as responsible for a crime they did not commit.
- 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_69f76ea4849481909b4a3073efb0114c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.